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Individual Fairness via Local Predictive Consistency

This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2610.33285v1 Announce Type: new Abstract: Individual fairness in machine learning requires that similar individuals receive similar predictions. Most existing definitions are pairwise in nature, imposing a Lipschitz constraint that must hold either globally across all pairs of data instances…

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  1. 2026-10-27 04:00 · arXiv cs.LG
    Individual Fairness via Local Predictive Consistency

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