Table of Contents
Fairness
Classes and Tutorials
Related Pages
Fairness
See related work on fairness in
Duchi 2020
.
Dwork, et al 2011 - Fairness Through Awareness
Hardt et al 2016 - Equality of Opportunity in Supervised Learning
“We show how to optimally adjust any learned predictor so as to remove discrimination according to our definition.”
Kilbertus et al 2017 - Avoiding Discrimination through Causal Reasoning
Kearns et al 2017 - Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
Bird et al 2020 - Fairlearn: A Toolkit for Assessing and Improving Fairness in AI
Classes and Tutorials
Tutorial: Bias and Fairness in Natural Language Processing
Related Pages
Bias
Distribution Shift
(Methods that are not robust to distribution shift may not be fair across populations)
Ethics