Fairlearn is an open source project to help practitioners assess and improve fairness of artificial intelligence (AI) systems. The associated Python library, also named fairlearn, supports evaluation of a model's output across affected populations and includes several algorithms for mitigating fairness issues. Grounded in the understanding that fairness is a sociotechnical challenge, the project integrates learning resources that aid practitioners in considering a system's broader societal context.
@article{arxiv.2303.16626,
title = {Fairlearn: Assessing and Improving Fairness of AI Systems},
author = {Hilde Weerts and Miroslav Dudík and Richard Edgar and Adrin Jalali and Roman Lutz and Michael Madaio},
journal= {arXiv preprint arXiv:2303.16626},
year = {2023}
}