State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers

20 November 2018

Papers citing "State of the Art in Fair ML: From Moral Philosophy and Legislation to Fair Classifiers"

4 / 4 papers shown

Title
Efficient Algorithms For Fair Clustering with a New Fairness Notion Shivam Gupta Ganesh Ghalme N. C. Krishnan Shweta Jain FaML 73 8 0 02 Sep 2021
Conservative AI and social inequality: Conceptualizing alternatives to bias through social theory Mike Zajko 21 37 0 16 Jul 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 236 676 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016