Inherent Trade-Offs in the Fair Determination of Risk Scores

conference on innovations in theoretical computer science, 2017.

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Abstract:

Recent discussion in the public sphere about algorithmic classification has involved tension between competing notions of what it means for a probabilistic classification to be fair to different groups. We formalize three fairness conditions that lie at the heart of these debates, and we prove that except in highly constrained special cas...More

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