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

Theme Issue (2024): Patient and Consumer Use of Artificial Intelligence for Health (10) Patient and Public Involvement in Research (42) Responsible Health AI (80) Artificial Intelligence in Diabetes Care and Prevention (64) Public Health Informatics (144) Participatory Research Protocols and Proposals (204)

Published on in Vol 17 (2025)

This is a member publication of University of Toronto

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69497, first published .
Principles and Practices of Community Engagement in AI for Population Health: Formative Qualitative Study of the AI for Diabetes Prediction and Prevention Project

Principles and Practices of Community Engagement in AI for Population Health: Formative Qualitative Study of the AI for Diabetes Prediction and Prevention Project

Principles and Practices of Community Engagement in AI for Population Health: Formative Qualitative Study of the AI for Diabetes Prediction and Prevention Project

Authors of this article:

Ibukun-Oluwa Omolade Abejirinde1, 2, 3 Author Orcid Image ;   Ijeoma Uchenna Itanyi2 Author Orcid Image ;   Kathy Kornas2 Author Orcid Image ;   Remziye Zaim2 Author Orcid Image ;   Shion Guha4, 5 Author Orcid Image ;   Victoria Chui4 Author Orcid Image ;   Lorraine Lipscombe2, 3, 6, 7 Author Orcid Image ;   Laura C Rosella1, 2, 7, 8 Author Orcid Image ;   James Shaw3, 9 Author Orcid Image
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Journals

  1. Ryan K, Sielaff M, Saleem D, Richardson J, Tan S, Hamasha R, Nong P, Kardia S, Romanov V, Hammad A, Platt J. Community perspectives on health AI: hopes, concerns and implications for health systems and trustworthy AI. AI and Ethics 2026;6(2) View