Equalized odds is a requirement of algorithmic fairness.
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 procedu...
| Published in: | Synthese Vol. 201; no. 3; pp. 1 - 26 |
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| Format: | Article |
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Springer Nature
Mar2023
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| Online Access: | View this record in EBSCOhost |
| Summary: | 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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