Fair Algorithm Design: Fair and Efficacious Machine Scheduling

13 April 2022

Papers citing "Fair Algorithm Design: Fair and Efficacious Machine Scheduling"

2 / 2 papers shown

Title
Improving fairness in machine learning systems: What do industry practitioners need? Kenneth Holstein Jennifer Wortman Vaughan Hal Daumé Miroslav Dudík Hanna M. Wallach FaML HAI 192 743 0 13 Dec 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,090 0 24 Oct 2016