On the Inequity of Predicting A While Hoping for B

Sendhil Mullainathan and Ziad Obermeyer

AEA Papers and Proceedings, 2021, vol. 111, 37-42

Abstract: Algorithms trained to predict mismeasured proxy variables can reproduce and scale up racial bias. This mechanism of algorithmic bias is distinct from others in the literature and harder to detect. We show this using examples from health care, but the forces we consider apply to a range of other important social sectors.

JEL-codes: D63 I14 J15 (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1257/pandp.20211078

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