EDAI Framework for Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of AI to Improve Health and Oral Health Care: Qualitative Study.

Journal: Journal of medical Internet research
PMID: 39546793

Abstract

BACKGROUND: Recent studies have identified significant gaps in equity, diversity, and inclusion (EDI) considerations within the lifecycle of artificial intelligence (AI), spanning from data collection and problem definition to implementation stages. Despite the recognized need for integrating EDI principles, there is currently no existing guideline or framework to support this integration in the AI lifecycle.

Authors

  • Samira Abbasgholizadeh Rahimi
    Department of Family Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.
  • Richa Shrivastava
    Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Anita Brown-Johnson
    Department of Family Medicine, McGill University, Montreal, QC, Canada.
  • Pascale Caidor
    Department of Communication, Université de Montréal, Montreal, QC, Canada.
  • Claire Davies
    Department of Mechanical and Materials Engineering, Queen's University, Kingston, Canada.
  • Amal Idrissi Janati
    Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, QC, Canada.
  • Pascaline Kengne Talla
    Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, QC, Canada.
  • Sreenath Madathil
    Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, QC, Canada.
  • Bettina M Willie
    Research Centre, Shriners Hospital for Children-Canada, Department of Pediatric Surgery, McGill University, Canada.
  • Elham Emami

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