Fairness of Machine Learning Algorithms in Demography

2 February 2022

Papers citing "Fairness of Machine Learning Algorithms in Demography"

6 / 6 papers shown

Title
Explaining the Explainer: A First Theoretical Analysis of LIME Damien Garreau U. V. Luxburg FAtt 45 178 0 10 Jan 2020
On the Apparent Conflict Between Individual and Group Fairness Reuben Binns FaML 66 310 0 14 Dec 2019
A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective Yuji Roh A. Mishra Steven Euijong Whang 66 680 0 08 Nov 2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices Till Speicher Hoda Heidari Nina Grgic-Hlaca Krishna P. Gummadi Adish Singla Adrian Weller Muhammad Bilal Zafar FaML 58 263 0 02 Jul 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 297 2,109 0 24 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,954 0 16 Feb 2016