The Ideals Program in Algorithmic Fairness

AI and Society (forthcoming)
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Abstract

I consider statistical criteria of algorithmic fairness from the perspective of the _ideals_ of fairness to which these criteria are committed. I distinguish and describe three theoretical roles such ideals might play. The usefulness of this program is illustrated by taking Base Rate Tracking and its ratio variant as a case study. I identify and compare the ideals of these two criteria, then consider them in each of the aforementioned three roles for ideals. This ideals program may present a way forward in the normative evaluation of candidate statistical criteria of algorithmic fairness.

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Rush T. Stewart
University of Rochester

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