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"};
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"};
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"};
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"};
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"};
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"};
\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"};
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"};
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"};
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"};
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"};
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"};
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"};
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"};
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 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\nRacial bias way before<\/h2>\n\n\n\n
Racial bias way before<\/h2>\n\n\n\n