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| Main Authors: | , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.00899 |
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| _version_ | 1866916669905960960 |
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| author | Were, Martin C. Li, Ang Malin, Bradley A. Yin, Zhijun Coco, Joseph R. Collins, Benjamin X. Clayton, Ellen Wright Novak, Laurie L. Hendricks-Sturrup, Rachele Oluyomi, Abiodun Anders, Shilo Yan, Chao |
| author_facet | Were, Martin C. Li, Ang Malin, Bradley A. Yin, Zhijun Coco, Joseph R. Collins, Benjamin X. Clayton, Ellen Wright Novak, Laurie L. Hendricks-Sturrup, Rachele Oluyomi, Abiodun Anders, Shilo Yan, Chao |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_00899 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Role and Use of Race in AI/ML Models Related to Health Were, Martin C. Li, Ang Malin, Bradley A. Yin, Zhijun Coco, Joseph R. Collins, Benjamin X. Clayton, Ellen Wright Novak, Laurie L. Hendricks-Sturrup, Rachele Oluyomi, Abiodun Anders, Shilo Yan, Chao Computers and Society Artificial Intelligence Machine Learning 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. |
| title | Role and Use of Race in AI/ML Models Related to Health |
| topic | Computers and Society Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2504.00899 |