Generalized Disparate Impact for Configurable Fairness Solutions in ML

29 May 2023

Papers citing "Generalized Disparate Impact for Configurable Fairness Solutions in ML"

3 / 3 papers shown

Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 34 1 0 09 May 2025
Using AI Alignment Theory to understand the potential pitfalls of regulatory frameworks Alejandro Tlaie 22 0 0 10 Oct 2024
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 352 4,237 0 23 Aug 2019