\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n
\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

\"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

\"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

\"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

\"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

\"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

\"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

Microsoft has extended its intellectual property indemnification coverage to include copyright claims related to the use of its AI-powered assistants named Copilots and Bing Chat Enterprise. This extension is called the Copilot Copyright Commitment and aims to provide additional protection to users of these services.<\/p>\n\n\n\n

Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

\"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

\"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

The AlphaMissense catalog is currently available online for free.<\/p>\n","post_title":"Google DeepMind Announces AlphaMissence: An AI Model Designed To Catalog Genetic Mutations And Identify Disease.","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-announces-alphamissence-an-ai-model-designed-to-catalog-genetic-mutations-and-identify-disease","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13531","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13454,"post_author":"20","post_date":"2023-09-19 22:25:51","post_date_gmt":"2023-09-19 12:25:51","post_content":"\n

Microsoft has extended its intellectual property indemnification coverage to include copyright claims related to the use of its AI-powered assistants named Copilots and Bing Chat Enterprise. This extension is called the Copilot Copyright Commitment and aims to provide additional protection to users of these services.<\/p>\n\n\n\n

Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

\"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

\"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

Experts in the field of genetics have pointed out the potential of such a catalog in combating harmful genetic disorders. Writing for Science.org, Dr Jun Cheng and others have noted that AlphaMissense performs better than current \u201cvariant effect predictor\u201d programs.<\/p>\n\n\n\n

The AlphaMissense catalog is currently available online for free.<\/p>\n","post_title":"Google DeepMind Announces AlphaMissence: An AI Model Designed To Catalog Genetic Mutations And Identify Disease.","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-announces-alphamissence-an-ai-model-designed-to-catalog-genetic-mutations-and-identify-disease","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13531","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13454,"post_author":"20","post_date":"2023-09-19 22:25:51","post_date_gmt":"2023-09-19 12:25:51","post_content":"\n

Microsoft has extended its intellectual property indemnification coverage to include copyright claims related to the use of its AI-powered assistants named Copilots and Bing Chat Enterprise. This extension is called the Copilot Copyright Commitment and aims to provide additional protection to users of these services.<\/p>\n\n\n\n

Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

\"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

\"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

DeepMind claims that the AI program can accurately predict whether a particular mutation will be harmful to a person or not, which will, in turn, \u201caccelerate research across fields from molecular biology to clinical and statistical genetics\u201d.<\/em><\/p>\n\n\n\n

Experts in the field of genetics have pointed out the potential of such a catalog in combating harmful genetic disorders. Writing for Science.org, Dr Jun Cheng and others have noted that AlphaMissense performs better than current \u201cvariant effect predictor\u201d programs.<\/p>\n\n\n\n

The AlphaMissense catalog is currently available online for free.<\/p>\n","post_title":"Google DeepMind Announces AlphaMissence: An AI Model Designed To Catalog Genetic Mutations And Identify Disease.","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-announces-alphamissence-an-ai-model-designed-to-catalog-genetic-mutations-and-identify-disease","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13531","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13454,"post_author":"20","post_date":"2023-09-19 22:25:51","post_date_gmt":"2023-09-19 12:25:51","post_content":"\n

Microsoft has extended its intellectual property indemnification coverage to include copyright claims related to the use of its AI-powered assistants named Copilots and Bing Chat Enterprise. This extension is called the Copilot Copyright Commitment and aims to provide additional protection to users of these services.<\/p>\n\n\n\n

Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

\"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

\"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

\u201cToday, we\u2019re releasing a catalog of \u2018missense\u2019 mutations where researchers can learn more about what effect they may have.\u201d<\/em>, said a blog release by Google DeepMind. \u201cThe AlphaMissense catalog was developed using AlphaMissense, our new AI model which classifies missense variants.\u201d.<\/em><\/p>\n\n\n\n

DeepMind claims that the AI program can accurately predict whether a particular mutation will be harmful to a person or not, which will, in turn, \u201caccelerate research across fields from molecular biology to clinical and statistical genetics\u201d.<\/em><\/p>\n\n\n\n

Experts in the field of genetics have pointed out the potential of such a catalog in combating harmful genetic disorders. Writing for Science.org, Dr Jun Cheng and others have noted that AlphaMissense performs better than current \u201cvariant effect predictor\u201d programs.<\/p>\n\n\n\n

The AlphaMissense catalog is currently available online for free.<\/p>\n","post_title":"Google DeepMind Announces AlphaMissence: An AI Model Designed To Catalog Genetic Mutations And Identify Disease.","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-announces-alphamissence-an-ai-model-designed-to-catalog-genetic-mutations-and-identify-disease","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13531","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13454,"post_author":"20","post_date":"2023-09-19 22:25:51","post_date_gmt":"2023-09-19 12:25:51","post_content":"\n

Microsoft has extended its intellectual property indemnification coverage to include copyright claims related to the use of its AI-powered assistants named Copilots and Bing Chat Enterprise. This extension is called the Copilot Copyright Commitment and aims to provide additional protection to users of these services.<\/p>\n\n\n\n

Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

\"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

\"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

Google DeepMind, the subsidiary of Google dedicated to researching artificial intelligence (AI), has recently announced a new tool in the field of genetics. Designated AlphaMissence, this new AI model is capable of cataloging 71 million possible \u201cmissense mutations\" in humans to help in the identification of certain diseases. Missense mutations are alterations in a person's DNA that occur randomly and have been implicated in several human diseases.<\/p>\n\n\n\n

\u201cToday, we\u2019re releasing a catalog of \u2018missense\u2019 mutations where researchers can learn more about what effect they may have.\u201d<\/em>, said a blog release by Google DeepMind. \u201cThe AlphaMissense catalog was developed using AlphaMissense, our new AI model which classifies missense variants.\u201d.<\/em><\/p>\n\n\n\n

DeepMind claims that the AI program can accurately predict whether a particular mutation will be harmful to a person or not, which will, in turn, \u201caccelerate research across fields from molecular biology to clinical and statistical genetics\u201d.<\/em><\/p>\n\n\n\n

Experts in the field of genetics have pointed out the potential of such a catalog in combating harmful genetic disorders. Writing for Science.org, Dr Jun Cheng and others have noted that AlphaMissense performs better than current \u201cvariant effect predictor\u201d programs.<\/p>\n\n\n\n

The AlphaMissense catalog is currently available online for free.<\/p>\n","post_title":"Google DeepMind Announces AlphaMissence: An AI Model Designed To Catalog Genetic Mutations And Identify Disease.","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-announces-alphamissence-an-ai-model-designed-to-catalog-genetic-mutations-and-identify-disease","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13531","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13454,"post_author":"20","post_date":"2023-09-19 22:25:51","post_date_gmt":"2023-09-19 12:25:51","post_content":"\n

Microsoft has extended its intellectual property indemnification coverage to include copyright claims related to the use of its AI-powered assistants named Copilots and Bing Chat Enterprise. This extension is called the Copilot Copyright Commitment and aims to provide additional protection to users of these services.<\/p>\n\n\n\n

Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

\"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

\"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

This announcement comes after Amazon joined other tech companies in pledging to develop AI responsibly and improve AI model safety and ethics.<\/p>\n","post_title":"Amazon Pushes The Boundaries Of AI With The Latest Product Lineup","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"amazon-pushes-the-boundaries-of-ai-with-the-latest-product-lineup","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13548","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13531,"post_author":"17","post_date":"2023-09-28 22:54:55","post_date_gmt":"2023-09-28 12:54:55","post_content":"\n

Google DeepMind, the subsidiary of Google dedicated to researching artificial intelligence (AI), has recently announced a new tool in the field of genetics. Designated AlphaMissence, this new AI model is capable of cataloging 71 million possible \u201cmissense mutations\" in humans to help in the identification of certain diseases. Missense mutations are alterations in a person's DNA that occur randomly and have been implicated in several human diseases.<\/p>\n\n\n\n

\u201cToday, we\u2019re releasing a catalog of \u2018missense\u2019 mutations where researchers can learn more about what effect they may have.\u201d<\/em>, said a blog release by Google DeepMind. \u201cThe AlphaMissense catalog was developed using AlphaMissense, our new AI model which classifies missense variants.\u201d.<\/em><\/p>\n\n\n\n

DeepMind claims that the AI program can accurately predict whether a particular mutation will be harmful to a person or not, which will, in turn, \u201caccelerate research across fields from molecular biology to clinical and statistical genetics\u201d.<\/em><\/p>\n\n\n\n

Experts in the field of genetics have pointed out the potential of such a catalog in combating harmful genetic disorders. Writing for Science.org, Dr Jun Cheng and others have noted that AlphaMissense performs better than current \u201cvariant effect predictor\u201d programs.<\/p>\n\n\n\n

The AlphaMissense catalog is currently available online for free.<\/p>\n","post_title":"Google DeepMind Announces AlphaMissence: An AI Model Designed To Catalog Genetic Mutations And Identify Disease.","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-announces-alphamissence-an-ai-model-designed-to-catalog-genetic-mutations-and-identify-disease","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13531","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13454,"post_author":"20","post_date":"2023-09-19 22:25:51","post_date_gmt":"2023-09-19 12:25:51","post_content":"\n

Microsoft has extended its intellectual property indemnification coverage to include copyright claims related to the use of its AI-powered assistants named Copilots and Bing Chat Enterprise. This extension is called the Copilot Copyright Commitment and aims to provide additional protection to users of these services.<\/p>\n\n\n\n

Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

\"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

\"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n

To address privacy concerns, Amazon highlighted that the map feature is an \"opt-in\" experience. While specific cybersecurity upgrades were not detailed, Amazon emphasized the importance of trust and security in their product. The company mentioned rigorous security reviews, data encryption, and regular software security updates as part of its security measures to protect devices and customer data. Amazon has also collaborated with third-party security penetration testing firms to enhance security.<\/p>\n\n\n\n

This announcement comes after Amazon joined other tech companies in pledging to develop AI responsibly and improve AI model safety and ethics.<\/p>\n","post_title":"Amazon Pushes The Boundaries Of AI With The Latest Product Lineup","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"amazon-pushes-the-boundaries-of-ai-with-the-latest-product-lineup","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13548","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13531,"post_author":"17","post_date":"2023-09-28 22:54:55","post_date_gmt":"2023-09-28 12:54:55","post_content":"\n

Google DeepMind, the subsidiary of Google dedicated to researching artificial intelligence (AI), has recently announced a new tool in the field of genetics. Designated AlphaMissence, this new AI model is capable of cataloging 71 million possible \u201cmissense mutations\" in humans to help in the identification of certain diseases. Missense mutations are alterations in a person's DNA that occur randomly and have been implicated in several human diseases.<\/p>\n\n\n\n

\u201cToday, we\u2019re releasing a catalog of \u2018missense\u2019 mutations where researchers can learn more about what effect they may have.\u201d<\/em>, said a blog release by Google DeepMind. \u201cThe AlphaMissense catalog was developed using AlphaMissense, our new AI model which classifies missense variants.\u201d.<\/em><\/p>\n\n\n\n

DeepMind claims that the AI program can accurately predict whether a particular mutation will be harmful to a person or not, which will, in turn, \u201caccelerate research across fields from molecular biology to clinical and statistical genetics\u201d.<\/em><\/p>\n\n\n\n

Experts in the field of genetics have pointed out the potential of such a catalog in combating harmful genetic disorders. Writing for Science.org, Dr Jun Cheng and others have noted that AlphaMissense performs better than current \u201cvariant effect predictor\u201d programs.<\/p>\n\n\n\n

The AlphaMissense catalog is currently available online for free.<\/p>\n","post_title":"Google DeepMind Announces AlphaMissence: An AI Model Designed To Catalog Genetic Mutations And Identify Disease.","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-announces-alphamissence-an-ai-model-designed-to-catalog-genetic-mutations-and-identify-disease","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13531","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13454,"post_author":"20","post_date":"2023-09-19 22:25:51","post_date_gmt":"2023-09-19 12:25:51","post_content":"\n

Microsoft has extended its intellectual property indemnification coverage to include copyright claims related to the use of its AI-powered assistants named Copilots and Bing Chat Enterprise. This extension is called the Copilot Copyright Commitment and aims to provide additional protection to users of these services.<\/p>\n\n\n\n

Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

\"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

\"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

\u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

\nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

Racial bias way before<\/h2>\n\n\n\n

Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

\u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

1 7 8 9 10 11 17

Most Read

Subscribe To Our Newsletter

By subscribing, you agree with our privacy and terms.

Follow The Distributed

ADVERTISEMENT
\n
  • and a map feature called Map View for tracking the status of Amazon-equipped smart homes in the U.S<\/li>\n<\/ul>\n\n\n\n

    To address privacy concerns, Amazon highlighted that the map feature is an \"opt-in\" experience. While specific cybersecurity upgrades were not detailed, Amazon emphasized the importance of trust and security in their product. The company mentioned rigorous security reviews, data encryption, and regular software security updates as part of its security measures to protect devices and customer data. Amazon has also collaborated with third-party security penetration testing firms to enhance security.<\/p>\n\n\n\n

    This announcement comes after Amazon joined other tech companies in pledging to develop AI responsibly and improve AI model safety and ethics.<\/p>\n","post_title":"Amazon Pushes The Boundaries Of AI With The Latest Product Lineup","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"amazon-pushes-the-boundaries-of-ai-with-the-latest-product-lineup","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13548","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13531,"post_author":"17","post_date":"2023-09-28 22:54:55","post_date_gmt":"2023-09-28 12:54:55","post_content":"\n

    Google DeepMind, the subsidiary of Google dedicated to researching artificial intelligence (AI), has recently announced a new tool in the field of genetics. Designated AlphaMissence, this new AI model is capable of cataloging 71 million possible \u201cmissense mutations\" in humans to help in the identification of certain diseases. Missense mutations are alterations in a person's DNA that occur randomly and have been implicated in several human diseases.<\/p>\n\n\n\n

    \u201cToday, we\u2019re releasing a catalog of \u2018missense\u2019 mutations where researchers can learn more about what effect they may have.\u201d<\/em>, said a blog release by Google DeepMind. \u201cThe AlphaMissense catalog was developed using AlphaMissense, our new AI model which classifies missense variants.\u201d.<\/em><\/p>\n\n\n\n

    DeepMind claims that the AI program can accurately predict whether a particular mutation will be harmful to a person or not, which will, in turn, \u201caccelerate research across fields from molecular biology to clinical and statistical genetics\u201d.<\/em><\/p>\n\n\n\n

    Experts in the field of genetics have pointed out the potential of such a catalog in combating harmful genetic disorders. Writing for Science.org, Dr Jun Cheng and others have noted that AlphaMissense performs better than current \u201cvariant effect predictor\u201d programs.<\/p>\n\n\n\n

    The AlphaMissense catalog is currently available online for free.<\/p>\n","post_title":"Google DeepMind Announces AlphaMissence: An AI Model Designed To Catalog Genetic Mutations And Identify Disease.","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-announces-alphamissence-an-ai-model-designed-to-catalog-genetic-mutations-and-identify-disease","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13531","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13454,"post_author":"20","post_date":"2023-09-19 22:25:51","post_date_gmt":"2023-09-19 12:25:51","post_content":"\n

    Microsoft has extended its intellectual property indemnification coverage to include copyright claims related to the use of its AI-powered assistants named Copilots and Bing Chat Enterprise. This extension is called the Copilot Copyright Commitment and aims to provide additional protection to users of these services.<\/p>\n\n\n\n

    Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

    \"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

    However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

    \"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

    Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

    The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

    TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

    \u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

    Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

    Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

    A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

    \nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

    While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

    Racial bias way before<\/h2>\n\n\n\n

    Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

    In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

    The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

    Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

    They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

    Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

    \u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

    In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

    Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

    Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

    In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

    The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

    One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

    Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

    According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

    1 7 8 9 10 11 17

    Most Read

    Subscribe To Our Newsletter

    By subscribing, you agree with our privacy and terms.

    Follow The Distributed

    ADVERTISEMENT
    \n
  • new Ring cameras<\/li>\n\n\n\n
  • and a map feature called Map View for tracking the status of Amazon-equipped smart homes in the U.S<\/li>\n<\/ul>\n\n\n\n

    To address privacy concerns, Amazon highlighted that the map feature is an \"opt-in\" experience. While specific cybersecurity upgrades were not detailed, Amazon emphasized the importance of trust and security in their product. The company mentioned rigorous security reviews, data encryption, and regular software security updates as part of its security measures to protect devices and customer data. Amazon has also collaborated with third-party security penetration testing firms to enhance security.<\/p>\n\n\n\n

    This announcement comes after Amazon joined other tech companies in pledging to develop AI responsibly and improve AI model safety and ethics.<\/p>\n","post_title":"Amazon Pushes The Boundaries Of AI With The Latest Product Lineup","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"amazon-pushes-the-boundaries-of-ai-with-the-latest-product-lineup","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13548","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13531,"post_author":"17","post_date":"2023-09-28 22:54:55","post_date_gmt":"2023-09-28 12:54:55","post_content":"\n

    Google DeepMind, the subsidiary of Google dedicated to researching artificial intelligence (AI), has recently announced a new tool in the field of genetics. Designated AlphaMissence, this new AI model is capable of cataloging 71 million possible \u201cmissense mutations\" in humans to help in the identification of certain diseases. Missense mutations are alterations in a person's DNA that occur randomly and have been implicated in several human diseases.<\/p>\n\n\n\n

    \u201cToday, we\u2019re releasing a catalog of \u2018missense\u2019 mutations where researchers can learn more about what effect they may have.\u201d<\/em>, said a blog release by Google DeepMind. \u201cThe AlphaMissense catalog was developed using AlphaMissense, our new AI model which classifies missense variants.\u201d.<\/em><\/p>\n\n\n\n

    DeepMind claims that the AI program can accurately predict whether a particular mutation will be harmful to a person or not, which will, in turn, \u201caccelerate research across fields from molecular biology to clinical and statistical genetics\u201d.<\/em><\/p>\n\n\n\n

    Experts in the field of genetics have pointed out the potential of such a catalog in combating harmful genetic disorders. Writing for Science.org, Dr Jun Cheng and others have noted that AlphaMissense performs better than current \u201cvariant effect predictor\u201d programs.<\/p>\n\n\n\n

    The AlphaMissense catalog is currently available online for free.<\/p>\n","post_title":"Google DeepMind Announces AlphaMissence: An AI Model Designed To Catalog Genetic Mutations And Identify Disease.","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-announces-alphamissence-an-ai-model-designed-to-catalog-genetic-mutations-and-identify-disease","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13531","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13454,"post_author":"20","post_date":"2023-09-19 22:25:51","post_date_gmt":"2023-09-19 12:25:51","post_content":"\n

    Microsoft has extended its intellectual property indemnification coverage to include copyright claims related to the use of its AI-powered assistants named Copilots and Bing Chat Enterprise. This extension is called the Copilot Copyright Commitment and aims to provide additional protection to users of these services.<\/p>\n\n\n\n

    Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

    \"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

    However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

    \"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

    Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

    The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

    TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

    \u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

    Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

    Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

    A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

    \nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

    While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

    Racial bias way before<\/h2>\n\n\n\n

    Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

    In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

    The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

    Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

    They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

    Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

    \u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

    In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

    Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

    Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

    In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

    The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

    One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

    Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

    According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

    1 7 8 9 10 11 17

    Most Read

    Subscribe To Our Newsletter

    By subscribing, you agree with our privacy and terms.

    Follow The Distributed

    ADVERTISEMENT
    \n
  • an updated Fire TV Stick with 4K<\/li>\n\n\n\n
  • new Ring cameras<\/li>\n\n\n\n
  • and a map feature called Map View for tracking the status of Amazon-equipped smart homes in the U.S<\/li>\n<\/ul>\n\n\n\n

    To address privacy concerns, Amazon highlighted that the map feature is an \"opt-in\" experience. While specific cybersecurity upgrades were not detailed, Amazon emphasized the importance of trust and security in their product. The company mentioned rigorous security reviews, data encryption, and regular software security updates as part of its security measures to protect devices and customer data. Amazon has also collaborated with third-party security penetration testing firms to enhance security.<\/p>\n\n\n\n

    This announcement comes after Amazon joined other tech companies in pledging to develop AI responsibly and improve AI model safety and ethics.<\/p>\n","post_title":"Amazon Pushes The Boundaries Of AI With The Latest Product Lineup","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"amazon-pushes-the-boundaries-of-ai-with-the-latest-product-lineup","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13548","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13531,"post_author":"17","post_date":"2023-09-28 22:54:55","post_date_gmt":"2023-09-28 12:54:55","post_content":"\n

    Google DeepMind, the subsidiary of Google dedicated to researching artificial intelligence (AI), has recently announced a new tool in the field of genetics. Designated AlphaMissence, this new AI model is capable of cataloging 71 million possible \u201cmissense mutations\" in humans to help in the identification of certain diseases. Missense mutations are alterations in a person's DNA that occur randomly and have been implicated in several human diseases.<\/p>\n\n\n\n

    \u201cToday, we\u2019re releasing a catalog of \u2018missense\u2019 mutations where researchers can learn more about what effect they may have.\u201d<\/em>, said a blog release by Google DeepMind. \u201cThe AlphaMissense catalog was developed using AlphaMissense, our new AI model which classifies missense variants.\u201d.<\/em><\/p>\n\n\n\n

    DeepMind claims that the AI program can accurately predict whether a particular mutation will be harmful to a person or not, which will, in turn, \u201caccelerate research across fields from molecular biology to clinical and statistical genetics\u201d.<\/em><\/p>\n\n\n\n

    Experts in the field of genetics have pointed out the potential of such a catalog in combating harmful genetic disorders. Writing for Science.org, Dr Jun Cheng and others have noted that AlphaMissense performs better than current \u201cvariant effect predictor\u201d programs.<\/p>\n\n\n\n

    The AlphaMissense catalog is currently available online for free.<\/p>\n","post_title":"Google DeepMind Announces AlphaMissence: An AI Model Designed To Catalog Genetic Mutations And Identify Disease.","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-announces-alphamissence-an-ai-model-designed-to-catalog-genetic-mutations-and-identify-disease","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13531","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13454,"post_author":"20","post_date":"2023-09-19 22:25:51","post_date_gmt":"2023-09-19 12:25:51","post_content":"\n

    Microsoft has extended its intellectual property indemnification coverage to include copyright claims related to the use of its AI-powered assistants named Copilots and Bing Chat Enterprise. This extension is called the Copilot Copyright Commitment and aims to provide additional protection to users of these services.<\/p>\n\n\n\n

    Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

    \"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

    However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

    \"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

    Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

    The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

    TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

    \u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

    Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

    Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

    A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

    \nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

    While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

    Racial bias way before<\/h2>\n\n\n\n

    Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

    In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

    The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

    Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

    They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

    Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

    \u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

    In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

    Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

    Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

    In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

    The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

    One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

    Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

    According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

    1 7 8 9 10 11 17

    Most Read

    Subscribe To Our Newsletter

    By subscribing, you agree with our privacy and terms.

    Follow The Distributed

    ADVERTISEMENT
    \n
  • a Fire TV soundbar that integrates with Amazon's Fire TV<\/li>\n\n\n\n
  • an updated Fire TV Stick with 4K<\/li>\n\n\n\n
  • new Ring cameras<\/li>\n\n\n\n
  • and a map feature called Map View for tracking the status of Amazon-equipped smart homes in the U.S<\/li>\n<\/ul>\n\n\n\n

    To address privacy concerns, Amazon highlighted that the map feature is an \"opt-in\" experience. While specific cybersecurity upgrades were not detailed, Amazon emphasized the importance of trust and security in their product. The company mentioned rigorous security reviews, data encryption, and regular software security updates as part of its security measures to protect devices and customer data. Amazon has also collaborated with third-party security penetration testing firms to enhance security.<\/p>\n\n\n\n

    This announcement comes after Amazon joined other tech companies in pledging to develop AI responsibly and improve AI model safety and ethics.<\/p>\n","post_title":"Amazon Pushes The Boundaries Of AI With The Latest Product Lineup","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"amazon-pushes-the-boundaries-of-ai-with-the-latest-product-lineup","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13548","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13531,"post_author":"17","post_date":"2023-09-28 22:54:55","post_date_gmt":"2023-09-28 12:54:55","post_content":"\n

    Google DeepMind, the subsidiary of Google dedicated to researching artificial intelligence (AI), has recently announced a new tool in the field of genetics. Designated AlphaMissence, this new AI model is capable of cataloging 71 million possible \u201cmissense mutations\" in humans to help in the identification of certain diseases. Missense mutations are alterations in a person's DNA that occur randomly and have been implicated in several human diseases.<\/p>\n\n\n\n

    \u201cToday, we\u2019re releasing a catalog of \u2018missense\u2019 mutations where researchers can learn more about what effect they may have.\u201d<\/em>, said a blog release by Google DeepMind. \u201cThe AlphaMissense catalog was developed using AlphaMissense, our new AI model which classifies missense variants.\u201d.<\/em><\/p>\n\n\n\n

    DeepMind claims that the AI program can accurately predict whether a particular mutation will be harmful to a person or not, which will, in turn, \u201caccelerate research across fields from molecular biology to clinical and statistical genetics\u201d.<\/em><\/p>\n\n\n\n

    Experts in the field of genetics have pointed out the potential of such a catalog in combating harmful genetic disorders. Writing for Science.org, Dr Jun Cheng and others have noted that AlphaMissense performs better than current \u201cvariant effect predictor\u201d programs.<\/p>\n\n\n\n

    The AlphaMissense catalog is currently available online for free.<\/p>\n","post_title":"Google DeepMind Announces AlphaMissence: An AI Model Designed To Catalog Genetic Mutations And Identify Disease.","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-announces-alphamissence-an-ai-model-designed-to-catalog-genetic-mutations-and-identify-disease","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13531","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13454,"post_author":"20","post_date":"2023-09-19 22:25:51","post_date_gmt":"2023-09-19 12:25:51","post_content":"\n

    Microsoft has extended its intellectual property indemnification coverage to include copyright claims related to the use of its AI-powered assistants named Copilots and Bing Chat Enterprise. This extension is called the Copilot Copyright Commitment and aims to provide additional protection to users of these services.<\/p>\n\n\n\n

    Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

    \"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

    However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

    \"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

    Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

    The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

    TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

    \u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

    Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

    Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

    A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

    \nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

    While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

    Racial bias way before<\/h2>\n\n\n\n

    Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

    In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

    The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

    Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

    They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

    Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

    \u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

    In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

    Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

    Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

    In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

    The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

    One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

    Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

    According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

    1 7 8 9 10 11 17

    Most Read

    Subscribe To Our Newsletter

    By subscribing, you agree with our privacy and terms.

    Follow The Distributed

    ADVERTISEMENT
    \n
  • a wall-mounted smart home control panel called Echo Hub<\/li>\n\n\n\n
  • a Fire TV soundbar that integrates with Amazon's Fire TV<\/li>\n\n\n\n
  • an updated Fire TV Stick with 4K<\/li>\n\n\n\n
  • new Ring cameras<\/li>\n\n\n\n
  • and a map feature called Map View for tracking the status of Amazon-equipped smart homes in the U.S<\/li>\n<\/ul>\n\n\n\n

    To address privacy concerns, Amazon highlighted that the map feature is an \"opt-in\" experience. While specific cybersecurity upgrades were not detailed, Amazon emphasized the importance of trust and security in their product. The company mentioned rigorous security reviews, data encryption, and regular software security updates as part of its security measures to protect devices and customer data. Amazon has also collaborated with third-party security penetration testing firms to enhance security.<\/p>\n\n\n\n

    This announcement comes after Amazon joined other tech companies in pledging to develop AI responsibly and improve AI model safety and ethics.<\/p>\n","post_title":"Amazon Pushes The Boundaries Of AI With The Latest Product Lineup","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"amazon-pushes-the-boundaries-of-ai-with-the-latest-product-lineup","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13548","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13531,"post_author":"17","post_date":"2023-09-28 22:54:55","post_date_gmt":"2023-09-28 12:54:55","post_content":"\n

    Google DeepMind, the subsidiary of Google dedicated to researching artificial intelligence (AI), has recently announced a new tool in the field of genetics. Designated AlphaMissence, this new AI model is capable of cataloging 71 million possible \u201cmissense mutations\" in humans to help in the identification of certain diseases. Missense mutations are alterations in a person's DNA that occur randomly and have been implicated in several human diseases.<\/p>\n\n\n\n

    \u201cToday, we\u2019re releasing a catalog of \u2018missense\u2019 mutations where researchers can learn more about what effect they may have.\u201d<\/em>, said a blog release by Google DeepMind. \u201cThe AlphaMissense catalog was developed using AlphaMissense, our new AI model which classifies missense variants.\u201d.<\/em><\/p>\n\n\n\n

    DeepMind claims that the AI program can accurately predict whether a particular mutation will be harmful to a person or not, which will, in turn, \u201caccelerate research across fields from molecular biology to clinical and statistical genetics\u201d.<\/em><\/p>\n\n\n\n

    Experts in the field of genetics have pointed out the potential of such a catalog in combating harmful genetic disorders. Writing for Science.org, Dr Jun Cheng and others have noted that AlphaMissense performs better than current \u201cvariant effect predictor\u201d programs.<\/p>\n\n\n\n

    The AlphaMissense catalog is currently available online for free.<\/p>\n","post_title":"Google DeepMind Announces AlphaMissence: An AI Model Designed To Catalog Genetic Mutations And Identify Disease.","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-announces-alphamissence-an-ai-model-designed-to-catalog-genetic-mutations-and-identify-disease","to_ping":"","pinged":"","post_modified":"2023-09-28 22:56:56","post_modified_gmt":"2023-09-28 12:56:56","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13531","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13454,"post_author":"20","post_date":"2023-09-19 22:25:51","post_date_gmt":"2023-09-19 12:25:51","post_content":"\n

    Microsoft has extended its intellectual property indemnification coverage to include copyright claims related to the use of its AI-powered assistants named Copilots and Bing Chat Enterprise. This extension is called the Copilot Copyright Commitment and aims to provide additional protection to users of these services.<\/p>\n\n\n\n

    Microsoft has introduced the Copilot Copyright Commitment<\/a> in response to customer concerns. The commitment aims to ease worries about copyright claims when using Copilot services and their output.<\/p>\n\n\n\n

    \"This new commitment extends our existing intellectual property indemnity support to commercial Copilot services and builds on our previous AI Customer Commitments<\/a>. Specifically, if a third party sues a commercial customer for copyright infringement for using Microsoft\u2019s Copilots or the output they generate, we will defend the customer and pay the amount of any adverse judgments or settlements that result from the lawsuit, as long as the customer used the guardrails and content filters we have built into our products\" <\/em>said company.<\/p>\n\n\n\n

    However, there's a catch: to qualify for this protection, customers must use the \"guardrails and content filters\" within their products. Generative AI programs, capable of creating text, images, sounds, and other data, have raised concerns over their ability to create content without referencing original authors. <\/p>\n\n\n\n

    \"Microsoft is bullish on the benefits of AI, but, as with any powerful technology, we\u2019re clear-eyed about the challenges and risks associated with it, including protecting creative works,\"<\/em> said Microsoft.<\/a><\/p>\n\n\n\n

    Several lawsuits have been filed against Microsoft over their use of Copilot by authors and visual artists for unauthorized use of their work to train generative models. <\/p>\n","post_title":"Microsoft Announced Legal Protection For Users Experiencing AI Copyright Infringements","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"microsoft-announced-legal-protection-for-users-experiencing-ai-copyright-infringements","to_ping":"","pinged":"","post_modified":"2023-09-19 22:25:58","post_modified_gmt":"2023-09-19 12:25:58","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13454","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13416,"post_author":"17","post_date":"2023-09-15 22:08:49","post_date_gmt":"2023-09-15 12:08:49","post_content":"\n

    The Technology Innovation Institute (TII), a government-funded research establishment based in Abu Dhabi, has recently revealed the latest iteration of their large language model (LLM) series, called Falcon 180B. This new and improved AI model can outperform most open-source LLMs and even rivals the LLMs made by industry giants such as Google and Meta, according to various reports.<\/p>\n\n\n\n

    TII has released the Falcon 180B on Hugging Face and has quickly reached the top of its performance list for LLMs. According to the company\u2019s blog post, this model has been trained on 3.5 million tokens and has 180 billion parameters, thus making it one of the most powerful open-source language models out there.<\/p>\n\n\n\n

    \u201cThis model performs exceptionally well in various tasks like reasoning, coding, proficiency, and knowledge tests, even beating competitors like Meta's LLaMA 2. Among closed source models, it ranks just behind OpenAI's GPT 4, and performs on par with Google's PaLM 2 Large, which powers Bard, despite being half the size of the model.<\/em>\u201d, the company stated in their blog post.<\/a><\/p>\n\n\n\n

    Falcon 180B is currently available on Hugging Face for both commercial and research use. The model is compatible with many languages including English, German, Spanish, French, and Italian.<\/p>\n","post_title":"Introducing Falcon LLM: A New Open Source Large Language Model Set To Rival Google And Meta","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"introducing-falcon-llm-a-new-open-source-large-language-model-set-to-rival-google-and-meta","to_ping":"","pinged":"","post_modified":"2023-09-15 22:09:05","post_modified_gmt":"2023-09-15 12:09:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13416","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13408,"post_author":"15","post_date":"2023-09-15 22:08:35","post_date_gmt":"2023-09-15 12:08:35","post_content":"\n

    Experts caution that artificial intelligence (AI) systems incorporate prejudiced inclinations, leading machines to mirror human biases. This concern is particularly worrisome as AI becomes more widely adopted, potentially posing racial bias.<\/p>\n\n\n\n

    A BuzzFeed writer used Midjourney, an AI image generator, to produce Barbie doll representations from different countries. Regrettably, the outcomes were met with strong disapproval. Notably, the depiction of the German Barbie<\/a> featured her in a Nazi SS uniform, the South Sudanese Barbie was portrayed holding a firearm, and the Lebanese Barbie<\/a> was situated on \"top of the rubble.\"<\/em><\/p>\n\n\n\n

    \nhttps:\/\/twitter.com\/abuhndrxx\/status\/1677792933721026560\n<\/div><\/figure>\n\n\n\n

    While this instance may seem relatively minor, it indicates the possibility of more profound and far-reaching consequences as AI technology is applied to a wide range of real-world scenarios. Moreover, it's not the initial occurrence where AI has been labeled as exhibiting biases.<\/p>\n\n\n\n

    Racial bias way before<\/h2>\n\n\n\n

    Most recently, Google's Vision Cloud wrongly categorized individuals<\/a> with darker skin holding a thermometer as if carrying a \"firearm.\" While those with lighter skin were identified as holding an \"electronic device.\"<\/em><\/p>\n\n\n\n

    In 2009, Nikon's facial recognition<\/a> software mistakenly inquired if they were blinking. Then, in 2016, an artificial intelligence application employed by U.S. courts to evaluate the probability of reoffending produced twice as many incorrect identifications<\/a> for black defendants (45%) compared to white ones (23%), as per an analysis by ProPublica.<\/p>\n\n\n\n

    The inclination of AI to exhibit racial bias has prompted the UK Information Commissioner\u2019s Office (ICO) to launch an investigation<\/a>. This is to express concerns about the potential harm it could inflict on people's lives.<\/p>\n","post_title":"AI Exhibits Racial Bias Similar To Humans, Says Experts","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"ai-exhibits-racial-bias-similar-to-humans-says-experts","to_ping":"","pinged":"\nhttps:\/\/thesocietypages.org\/socimages\/2009\/05\/29\/nikon-camera-says-asians-are-always-blinking\/","post_modified":"2023-09-15 22:08:44","post_modified_gmt":"2023-09-15 12:08:44","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13408","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13353,"post_author":"20","post_date":"2023-09-13 13:07:31","post_date_gmt":"2023-09-13 03:07:31","post_content":"\n

    Dereck Paul, a medical student with his friend Graham Ramsey, has introduced a new AI platform to help doctors, nurses, and medical students with diagnosis and clinical decision-making. The idea came to Paul when he noticed that medical software innovation was not keeping up with other sectors, like finance and aerospace.<\/p>\n\n\n\n

    They created Glass Health<\/a> in 2021, which offers physicians a notebook to store and share their diagnostic and treatment approaches throughout their careers. \u201cDuring the pandemic, Ramsey and I witnessed the overwhelming burdens on our healthcare system and the worsening crisis of healthcare provider burnout,\u201d<\/em> said Paul. He added, \u201cI experienced provider burnout firsthand as a medical student on hospital rotations and later as an internal medicine resident physician at Brigham and Women\u2019s Hospital. Our empathy for frontline providers catalyzed us to create a company committed to fully leveraging technology to improve the practice of medicine.\u201d<\/em><\/p>\n\n\n\n

    Glass Health introduced this AI system<\/a>, named Glass, which looks like ChatGPT<\/a>, and it will provide evidence-based treatment options to consider for patients. The Physicians need to write a description mentioning the patient's age, gender, symptoms, and medical history and this AI will provide a similar clinical plan and prognosis.<\/p>\n\n\n\n

    \u201cClinicians enter a patient summary, also known as a problem representation, that describes the relevant demographics, past medical history, signs and symptoms, and descriptions of laboratory and radiology findings related to a patient\u2019s presentation, the information they might use to present a patient to another clinician,\u201d<\/em> Paul told \u201cGlass analyzes the patient summary and recommends five to 10 diagnoses that the clinician may want to consider and further investigate.\u201d<\/em><\/p>\n\n\n\n

    In addition, Glass Health can prepare a case assessment paragraph for clinicians to review, complete with explanations about any applicable diagnostic studies. Editing these explanations for clinical notes or sharing them with the Glass Health community is important for a better approach and patient care.<\/p>\n\n\n\n

    Please note that this AI system<\/a> is intended only for medical professionals, even though it is accessible to the public. The tool developed by Glass Health appears to be highly useful in theory, however, even the most advanced LLMs have confirmed their failure to provide effective health advice.<\/p>\n","post_title":"Glass Health Introduces An AI-Powered System For Suggesting Medical Diagnoses","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"glass-health-introduces-an-ai-powered-system-for-suggesting-medical-diagnoses","to_ping":"","pinged":"","post_modified":"2023-09-13 13:07:39","post_modified_gmt":"2023-09-13 03:07:39","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13353","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"},{"ID":13286,"post_author":"17","post_date":"2023-09-09 00:28:26","post_date_gmt":"2023-09-08 14:28:26","post_content":"\n

    Google DeepMind, a subsidiary of Google that focuses on Artificial Intelligence, is testing a new tool for identifying AI-generated images. This is the latest endeavor from the company in a bid to regulate generative AI and to prevent the spread of misinformation.<\/p>\n\n\n\n

    In a blog released on the company\u2019s website<\/a>, DeepMind states, \u201cToday, in partnership with Google Cloud, we\u2019re launching a beta version of SynthID, a tool for watermarking and identifying AI-generated images..<\/em>\u201d.<\/p>\n\n\n\n

    The technology works by embedding a digital watermark to the pixels of the images. Unlike traditional watermarks, these digital counterparts will be invisible to the naked eye but \u201cdetectable for identification\u201d, the company claims. <\/p>\n\n\n\n

    One of the significant applications of generative AI tools is to create highly detailed, realistic images that are hard to distinguish as fake. This has led to concerns in some sectors about the potential spread of misinformation on the internet. <\/p>\n\n\n\n

    Addressing the issue of information authenticity, the company states, <\/em><\/strong>\u201cWhile generative AI can unlock huge creative potential, it also presents new risks, like enabling creators to spread false information \u2014 both intentionally or unintentionally.\u201d.<\/em><\/p>\n\n\n\n

    According to the company\u2019s admission, the technology is not \u201cfoolproof\u201d. However, Google hopes the technology can evolve to be more functional and efficient. SynthID is currently in a beta launch.<\/p>\n","post_title":"Google DeepMind Is Testing SynthID: A Watermark Tool For Identifying AI-generated Images","post_excerpt":"","post_status":"publish","comment_status":"closed","ping_status":"closed","post_password":"","post_name":"google-deepmind-is-testing-synthid-a-watermark-tool-for-identifying-ai-generated-images","to_ping":"","pinged":"","post_modified":"2023-09-09 00:28:43","post_modified_gmt":"2023-09-08 14:28:43","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.thedistributed.co\/?p=13286","menu_order":0,"post_type":"post","post_mime_type":"","comment_count":"0","filter":"raw"}],"next":false,"total_page":false},"paged":1,"class":"jblog_block_13"};

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