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Role and Use of Race in AI/ML Models Related to Health

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.

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@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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