Construct · 1 fields · 1 citations

fairness gerrymandering: a standalone construct

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Algorithmic fairness

a classifier appears fair for each protected group separately but is unfair to structured subgroups formed by combining attributes.

In algorithmic fairness, fairness gerrymandering refers to a classifier appears fair for each protected group separately but is unfair to structured subgroups formed by combining attributes. This meaning comes from Kearns (2017) in arXiv.[1]

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Nearby constructs

fairness4 fields · 4 citationsjingle · one word, four constructs group4 fields · 4 citationsjingle · one word, four constructs

References

Kearns, M., Neel, S., Roth, A., & Wu, Z. S. (2017). Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness. arXiv. https://doi.org/10.48550/arxiv.1711.05144

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