Feature Importance Disparities for Data Bias Investigations

3 March 2023

Papers citing "Feature Importance Disparities for Data Bias Investigations"

3 / 3 papers shown

Title
Accuracy, Fairness, and Interpretability of Machine Learning Criminal Recidivism Models E. Ingram Furkan Gursoy I. Kakadiaris FaML 17 2 0 14 Sep 2022
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective Satyapriya Krishna Tessa Han Alex Gu Steven Wu S. Jabbari Himabindu Lakkaraju 172 183 0 03 Feb 2022
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016