Bounding and Approximating Intersectional Fairness through Marginal Fairness

12 June 2022

Papers citing "Bounding and Approximating Intersectional Fairness through Marginal Fairness"

7 / 7 papers shown

Title
The Intersectionality Problem for Algorithmic Fairness Johannes Himmelreich Arbie Hsu Kristian Lum Ellen Veomett FaML 29 0 0 04 Nov 2024
A structured regression approach for evaluating model performance across intersectional subgroups Christine Herlihy Kimberly Truong Alexandra Chouldechova Miroslav Dudik 19 4 0 26 Jan 2024
Trading-off price for data quality to achieve fair online allocation M. Molina Nicolas Gast P. Loiseau Vianney Perchet 6 4 0 23 Jun 2023
A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges Usman Gohar Lu Cheng FaML 24 31 0 11 May 2023
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness Anaelia Ovalle Arjun Subramonian Vagrant Gautam Gilbert Gee Kai-Wei Chang 12 35 0 16 Mar 2023
Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference Disi Ji Padhraic Smyth M. Steyvers 34 43 0 19 Oct 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016