Original paper
Fairlearn: A toolkit for assessing and improving fairness in AI
Published: May 18, 2020
Abstract
We introduce Fairlearn, an open source toolkit that empowers data scientists and developers to assess and improve the fairness of their AI systems. Fairlearn has two components: an interactive visualization dashboard and unfairness mitigation algorithms. These components are designed to help with navigating trade-offs between fairness and model performance. We emphasize that prioritizing fairness in AI systems is a sociotechnical challenge....
Paper Details
Title
Fairlearn: A toolkit for assessing and improving fairness in AI
Published Date
May 18, 2020
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