EDAI Framework for Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of AI to Improve Health and Oral Health Care: Qualitative Study
The developed EDAI framework provides a comprehensive, actionable guideline for integrating EDI principles into AI development and deployment. By facilitating the systematic incorporation of these principles, the framework supports the creation and implementation of AI systems that are not only technologically advanced but also sensitive to EDI principles.
Authors
- T. Claire Davies (ORCID: https://orcid.org/0000-0003-4880-2654)
- Richa Shrivastava (ORCID: https://orcid.org/0000-0002-8370-4147)
- Samira Abbasgholizadeh Rahimi (ORCID: https://orcid.org/0000-0003-3781-1360)
- Pascale Caïdor (ORCID: https://orcid.org/0000-0001-6003-5596)
- Anita Brown-Johnson
- Bettina M. Willie (ORCID: https://orcid.org/0000-0003-2907-3580)
- Elham Emami (ORCID: https://orcid.org/0000-0002-7730-4139)
- Sreenath Madathil (ORCID: https://orcid.org/0000-0001-9406-6518)
- Pascaline Kengne Talla (ORCID: https://orcid.org/0000-0003-1038-0329)
- Amal Idrissi Janati (ORCID: https://orcid.org/0000-0002-0099-1284)
Institutions
- Queen's University (CA)
- McGill University Health Centre (CA)
- Jewish General Hospital (CA)
- Shriners Hospitals for Children - Canada (CA)
- Mila - Quebec Artificial Intelligence Institute (CA)
- Post Graduate Institute of Medical Education and Research (IN)
- McGill University (CA)
- Université de Montréal (CA)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2024-11-15
- DOI
- https://doi.org/10.2196/63356
- Citations
- 10
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.20