António Bandeira, Luis Henrique Gonçalves, Felix Holl, Juliet Ugbedeojo Shaibu, Mariana Laranjo Gonçalves, Ronan Payinda, Sagun Paudel, Alessandro Berionni, Tina D Purnat, Tim Mackey
{"title":"关于健康信息、错误信息和生成人工智能技术交叉的观点。","authors":"António Bandeira, Luis Henrique Gonçalves, Felix Holl, Juliet Ugbedeojo Shaibu, Mariana Laranjo Gonçalves, Ronan Payinda, Sagun Paudel, Alessandro Berionni, Tina D Purnat, Tim Mackey","doi":"10.2196/69474","DOIUrl":null,"url":null,"abstract":"<p><p>In recent years, artificial intelligence (AI) has seen rapid advancements, with innovations such as large language models and generative AI evolving at a rapid pace. While this progress offers tremendous opportunities, it also presents risks, particularly in the creation, consumption, and amplification of information and its impact on population health and health program delivery. Thoughtful approaches are necessary to navigate the consequences of advances in AI for different health care professionals and patient populations and from a policy and governance perspective. Through a collaboration between the World Federation of Public Health Associations working groups, this Viewpoint article brings together perspectives, concerns, and aspirations from young adult professionals across 5 continents and from diverse backgrounds to explore the future of public health and AI in the context of the changing health information environment. Our discussion is divided into 2 parts, specifically examining aspects of disinformation and AI, and also the role of public health and medical professionals in a growing AI-driven health information ecosystem. This Viewpoint concludes with 5 key recommendations on how to potentially address issues such as information and disinformation overload; misinformation propagation; and resultant changes in health practices, research, ethics, and the need for robust policies that can dynamically address current and future challenges.</p>","PeriodicalId":73554,"journal":{"name":"JMIR infodemiology","volume":"5 ","pages":"e69474"},"PeriodicalIF":2.3000,"publicationDate":"2025-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12481143/pdf/","citationCount":"0","resultStr":"{\"title\":\"Viewpoint on the Intersection Among Health Information, Misinformation, and Generative AI Technologies.\",\"authors\":\"António Bandeira, Luis Henrique Gonçalves, Felix Holl, Juliet Ugbedeojo Shaibu, Mariana Laranjo Gonçalves, Ronan Payinda, Sagun Paudel, Alessandro Berionni, Tina D Purnat, Tim Mackey\",\"doi\":\"10.2196/69474\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In recent years, artificial intelligence (AI) has seen rapid advancements, with innovations such as large language models and generative AI evolving at a rapid pace. While this progress offers tremendous opportunities, it also presents risks, particularly in the creation, consumption, and amplification of information and its impact on population health and health program delivery. Thoughtful approaches are necessary to navigate the consequences of advances in AI for different health care professionals and patient populations and from a policy and governance perspective. Through a collaboration between the World Federation of Public Health Associations working groups, this Viewpoint article brings together perspectives, concerns, and aspirations from young adult professionals across 5 continents and from diverse backgrounds to explore the future of public health and AI in the context of the changing health information environment. Our discussion is divided into 2 parts, specifically examining aspects of disinformation and AI, and also the role of public health and medical professionals in a growing AI-driven health information ecosystem. 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Viewpoint on the Intersection Among Health Information, Misinformation, and Generative AI Technologies.
In recent years, artificial intelligence (AI) has seen rapid advancements, with innovations such as large language models and generative AI evolving at a rapid pace. While this progress offers tremendous opportunities, it also presents risks, particularly in the creation, consumption, and amplification of information and its impact on population health and health program delivery. Thoughtful approaches are necessary to navigate the consequences of advances in AI for different health care professionals and patient populations and from a policy and governance perspective. Through a collaboration between the World Federation of Public Health Associations working groups, this Viewpoint article brings together perspectives, concerns, and aspirations from young adult professionals across 5 continents and from diverse backgrounds to explore the future of public health and AI in the context of the changing health information environment. Our discussion is divided into 2 parts, specifically examining aspects of disinformation and AI, and also the role of public health and medical professionals in a growing AI-driven health information ecosystem. This Viewpoint concludes with 5 key recommendations on how to potentially address issues such as information and disinformation overload; misinformation propagation; and resultant changes in health practices, research, ethics, and the need for robust policies that can dynamically address current and future challenges.