Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health

Authors

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 O Oluyomi
Shilo Anders
Chao Yan

Language

English

Publication Date

7-31-2025

Journal

Journal of Medical Internet Research

DOI

10.2196/73996

PMID

40744520

PMCID

PMC12327910

PubMedCentral® Posted Date

7-31-2025

PubMedCentral® Full Text Version

Post-print

Abstract

The role and use of race within health-related artificial intelligence (AI) and machine learning (ML) models have 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 crosscutting landscape analysis of race-related challenges, structured around the AI and ML life cycle and framed through "points to consider" to support inquiry and decision-making.

Keywords

Artificial Intelligence, Machine Learning, Humans, Racial Groups

Published Open-Access

yes

Recommended Citation

Were, Martin C; Li, Ang; Malin, Bradley A; et al., "Role and Use of Race in Artificial Intelligence and Machine Learning Models Related to Health" (2025). Faculty and Staff Publications. 4631.
https://digitalcommons.library.tmc.edu/baylor_docs/4631