Governance for anti-racist AI in healthcare: integrating racism-related stress in psychiatric algorithms for Black Americans

While the world is aware of America's history of enslavement, the ongoing impact of anti-Black racism in the United States remains underemphasized in health intervention modeling. This Perspective argues that algorithmic bias—manifested in the worsened performance of clinical algorithms for Black vs...

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Autori principali:	Christopher T. Fields, Carmen Black, Jannat K. Thind, Oluwole Jegede, Damla Aksen, Matthew Rosenblatt, Shervin Assari, Chyrell Bellamy, Elijah Anderson, Avram Holmes, Dustin Scheinost
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2025-05-01
Serie:	Frontiers in Digital Health
Soggetti:	anti-racist AI racism-related stress clinical algorithms algorithmic bias community-based participatory research
Accesso online:	https://www.frontiersin.org/articles/10.3389/fdgth.2025.1492736/full
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