Equalized Odds is a Requirement of Algorithmic Fairness

Synthese 201 (3) (2023)
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Abstract

Statistical criteria of fairness are formal measures of how an algorithm performs that aim to help us determine whether an algorithm would be fair to use in decision-making. In this paper, I introduce a new version of the criterion known as “Equalized Odds,” argue that it is a requirement of procedural fairness, and show that it is immune to a number of objections to the standard version.

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10.1007/s11229-023-04054-0

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David Gray Grant
University of Florida

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References found in this work

A Theory of Justice: Revised Edition.John Rawls - 1999 - Harvard University Press.
The wrongs of racist beliefs.Rima Basu - 2018 - Philosophical Studies 176 (9):2497-2515.
Moral Encroachment.Sarah Moss - 2018 - Proceedings of the Aristotelian Society 118 (2):177-205.
On statistical criteria of algorithmic fairness.Brian Hedden - 2021 - Philosophy and Public Affairs 49 (2):209-231.

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