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Mitigating Racial Bias in Machine Learning
73
Zitationen
10
Autoren
2022
Jahr
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.
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