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Role and Use of Race in AI/ML Models Related to Health
Martin C. Were;
Ang Li;
Bradley A. Malin;
Zhijun Yin;
Joseph R. Coco;
Benjamin X. Collins;
Ellen Wright Clayton;
Laurie L. Novak;
Rachele Hendricks-Sturrup;
Abiodun Oluyomi;
Shilo Anders;
Chao Yan
ABSTRACT
The role and use of race within health-related artificial intelligence and machine learning (AI/ML) models has sparked increasing attention and controversy. Despite the complexity and breadth of related issues, a robust and holistic framework to guide stakeholders in their examination and resolution remains lacking. This perspective provides a broad-based, systematic, and cross-cutting landscape analysis of race-related challenges, structured around the AI/ML lifecycle and framed through “points to consider” to support inquiry and decision-making.
Citation
Please cite as:
Were MC, Li A, Malin BA, Yin Z, Coco JR, Collins BX, Clayton EW, Novak LL, Hendricks-Sturrup R, Oluyomi A, Anders S, Yan C
Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health