Role and Use of Race in AI/ML Models Related to Health
Martin C. Were
Ang Li
Bradley 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.
View on arXiv@article{were2025_2504.00899, title={ Role and Use of Race in AI/ML Models Related to Health }, author={ Martin C. Were and Ang Li and Bradley A. Malin and Zhijun Yin and Joseph R. Coco and Benjamin X. Collins and Ellen Wright Clayton and Laurie L. Novak and Rachele Hendricks-Sturrup and Abiodun Oluyomi and Shilo Anders and Chao Yan }, journal={arXiv preprint arXiv:2504.00899}, year={ 2025 } }
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