Black Loans Matter: Distributionally Robust Fairness for Fighting Subgroup Discrimination

Algorithmic fairness in lending today relies on group fairness metrics for monitoring statistical parity across protected groups. This approach is vulnerable to subgroup discrimination by proxy, carrying significant risks of legal and reputational damage for lenders and blatantly unfair outcomes for...

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Veröffentlicht in:	arXiv.org 2020-11
Hauptverfasser:	Weber, Mark, Yurochkin, Mikhail, Botros, Sherif, Markov, Vanio
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Discrimination Loans Machine learning Racism Subgroups
Online-Zugang:	Volltext
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