Title

Mitigating Racial Bias in Machine Learning

Author ORCID iD

https://orcid.org/0000-0002-5718-3982

Document Type

Article

Publication Date

2022

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.

Publication Title

Journal of Law, Medicine & Ethics

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