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

Ethical, Legal, and Social Issues in AI (33) Artificial Intelligence (1421) Applications of AI (104)

Published on in Vol 2 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52888, first published .
Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach

Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach

Developing Ethics and Equity Principles, Terms, and Engagement Tools to Advance Health Equity and Researcher Diversity in AI and Machine Learning: Modified Delphi Approach

Authors of this article:

Rachele Hendricks-Sturrup1 Author Orcid Image ;   Malaika Simmons1 Author Orcid Image ;   Shilo Anders2 Author Orcid Image ;   Kammarauche Aneni3 Author Orcid Image ;   Ellen Wright Clayton2 Author Orcid Image ;   Joseph Coco2 Author Orcid Image ;   Benjamin Collins2 Author Orcid Image ;   Elizabeth Heitman4 Author Orcid Image ;   Sajid Hussain5 Author Orcid Image ;   Karuna Joshi6 Author Orcid Image ;   Josh Lemieux7 Author Orcid Image ;   Laurie Lovett Novak2 Author Orcid Image ;   Daniel J Rubin8 Author Orcid Image ;   Anil Shanker9 Author Orcid Image ;   Talitha Washington10 Author Orcid Image ;   Gabriella Waters11 Author Orcid Image ;   Joyce Webb Harris2 Author Orcid Image ;   Rui Yin12 Author Orcid Image ;   Teresa Wagner13 Author Orcid Image ;   Zhijun Yin2 Author Orcid Image ;   Bradley Malin2 Author Orcid Image
Article Authors Cited by (5) Tweetations (14) Metrics

Journals

  1. Anawati A, Fleming H, Mertz M, Bertrand J, Dumond J, Myles S, Leblanc J, Ross B, Lamoureux D, Patel D, Carrier R, Cameron E, Kuo P. Artificial intelligence and social accountability in the Canadian health care landscape: A rapid literature review. PLOS Digital Health 2024;3(9):e0000597 View
  2. Anibal J, Huth H, Gunkel J, Gregurick S, Wood B. Simulated misuse of large language models and clinical credit systems. npj Digital Medicine 2024;7(1) View
  3. Abbasgholizadeh Rahimi S, Shrivastava R, Brown-Johnson A, Caidor P, Davies C, Idrissi Janati A, Kengne Talla P, Madathil S, Willie B, Emami E. EDAI Framework for Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of AI to Improve Health and Oral Health Care: Qualitative Study. Journal of Medical Internet Research 2024;26:e63356 View
  4. Collins B, Bélisle-Pipon J, Evans B, Ferryman K, Jiang X, Nebeker C, Novak L, Roberts K, Were M, Yin Z, Ravitsky V, Coco J, Hendricks-Sturrup R, Williams I, Clayton E, Malin B. Addressing ethical issues in healthcare artificial intelligence using a lifecycle-informed process. JAMIA Open 2024;7(4) View

Books/Policy Documents

  1. Öncü S, Çolakoğlu M, Cigdem H. Integrating Micro-Credentials With AI in Open Education. View