Understanding and mitigating the impact of race with adversarial autoencoders

Background Artificial intelligence carries the risk of exacerbating some of our most challenging societal problems, but it also has the potential of mitigating and addressing these problems. The confounding effects of race on machine learning is an ongoing subject of research. This study aims to mit...

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Veröffentlicht in:	Communications medicine Jg. 4; H. 1; S. 210 - 8
Hauptverfasser:	Sarullo, Kathryn, Swamidass, S. Joshua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 23.10.2024 Springer Nature B.V Nature Portfolio
Schlagworte:	692/700/228 692/700/478 Artificial intelligence Datasets Machine learning Medicine Medicine & Public Health Variables
ISSN:	2730-664X, 2730-664X
Online-Zugang:	Volltext
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