arxiv:2303.16626

Fairlearn: Assessing and Improving Fairness of AI Systems

Published on Mar 29, 2023

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Authors:

Richard Edgar ,

Roman Lutz ,

Abstract

Fairlearn provides tools to evaluate and enhance the fairness of AI systems, incorporating various algorithms and learning resources to address sociotechnical challenges.

AI-generated summary

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.

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