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Mitigating Racial Bias in Machine Learning

Published online by Cambridge University Press:  04 March 2022

Kristin M. Kostick-Quenet ,
I. Glenn Cohen ,
Sara Gerke ,
Bernard Lo ,
James Antaki ,
Faezah Movahedi ,
Hasna Njah ,
Lauren Schoen ,
Jerry E. Estep  and
J.S. Blumenthal-Barby
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Abstract

When applied in the health sector, AI-based applications raise not only ethical but legal and safety concerns, where algorithms trained on data from majority populations can generate less accurate or reliable results for minorities and other disadvantaged groups.

Keywords

Algorithmic BiasRacial BiasMachine LearningArtificial IntelligenceEthics
Type
Symposium Articles
Information
Journal of Law, Medicine & Ethics , Volume 50 , Issue 1: Health Law and Anti-Racism: Reckoning and Response , Spring 2022 , pp. 92 - 100
Copyright
© 2022 The Author(s)

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