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This paper is in the following e-collection/theme issue:

Viewpoint and Opinions on Technology and Innovation in Public Health (71) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1999) Artificial Intelligence (2458) Viewpoints and Perspectives in AI (21) Generative Language Models Including ChatGPT (883) Ethical, Legal, and Social Issues in AI (134) AI Applications in Public Health (40)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65699, first published .
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The Promise and Perils of Artificial Intelligence in Advancing Participatory Science and Health Equity in Public Health

The Promise and Perils of Artificial Intelligence in Advancing Participatory Science and Health Equity in Public Health

Authors of this article:

Abby C King1 Author Orcid Image ;   Zakaria N Doueiri2 Author Orcid Image ;   Ankita Kaulberg2 Author Orcid Image ;   Lisa Goldman Rosas3 Author Orcid Image
Article Authors Cited by (7) Tweetations Metrics Author Video

Journals

  1. Yan M, Jiang Y, Wongvibulsin S, Chen S. Assessing public interest in artificial intelligence in dermatology: A Google Trends analysis. JID Innovations 2026;6(2):100435 View
  2. McDonald Y, Caiola M, Wyman S, Crone E, Robbins N, Caballero M, Bhattacharya S. Community-Based Participatory Geographic Information Systems: Informing a Long-Term Drinking Water Research Collaboration. Annals of the American Association of Geographers 2026;116(4):981 View
  3. Martinho D, Sobreiro P, Domingues A, Martinho F, Nogueira N. Ethical Responsibility in Medical AI: A Semi-Systematic Thematic Review and Multilevel Governance Model. Healthcare 2026;14(3):287 View
  4. Mamun A, Barua Soumma S, Ghasemzadeh H. Trustworthy AI in digital health: a comprehensive review of robustness and explainability. Progress in Biomedical Engineering 2026;8(2):022007 View
  5. De la Vega-Taboada E, Portillo S, Gomez-Garcia L, Banchoff A, Bermudez V, Chavez D, Sgaraglino T, Flores Millender E, Sarmiento O, King A. A New Model for Youth-Driven Community Change: Exploratory Testing of Artificial Intelligence–Supported Citizen Science. JMIR AI 2026;5:e79464 View
  6. Mason S, Melvin O, David T, Montrosse-Moorhead B. Aiding Evaluator Ethical Decision Making About How and When to Use AI in Evaluation. Canadian Journal of Program Evaluation 2026;40(1):1 View

Conference Proceedings

  1. Ohsawa Y. 2025 IEEE International Conference on Big Data (BigData). Data Users' Tsugoes Fit Data Free Flow with Trust - Lessons by Large Language Model - View