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.

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Institutions

Publication Details

Journal
JMIR Infodemiology
Published
2025-08-13
DOI
https://doi.org/10.2196/69474
Citations
2
Primary Topic
Misinformation and Its Impacts
Type
article
Field-Weighted Citation Impact
8.40
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article

Viewpoint on the Intersection Among Health Information, Misinformation, and Generative AI Technologies

Luís Henrique do Nascimento Gonçalves, António Bandeira, Tina D Purnat, Sagun Paudel et al.
2 citations
JMIR Infodemiology
Misinformation and Its Impacts
8.40
article

Viewpoint on the Intersection Among Health Information, Misinformation, and Generative AI Technologies

Luís Henrique do Nascimento Gonçalves, António Bandeira, Tina D Purnat, Sagun Paudel, Alessandro Berionni, Felix Holl, M.L.S. Simões Gonçalves, Juliet Ugbedeojo Shaibu, Ronan Payinda
article en
2 citations

Abstract

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.

JMIR InfodemiologyVol. 5
Universidade Estadual de Londrina (BR), Harvard University (US), Johns Hopkins University (US), University of Auckland (NZ), Technical University of Cluj-Napoca (RO), UC San Diego Health System (US), Administração Regional de Saúde de Lisboa e Vale do Tejo (PT), Neu-Ulm University of Applied Sciences (DE), World Federation of Public Health Associations (CH), Women's Health Initiative (US), Fundação Oswaldo Cruz (BR)
Openalex Percentile: Top 3%
Misinformation and Its Impacts
8.40
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