Fairlearn

Author: Miro Dudik

Publisher: Fairlearn

Publication Year: N/A

Summary: The following tool is Fairlearn which is a open-source project that helps data scientists improve fairness of their artificial intelligence (AI) systems. It includes a python library to assess fairness and improvement. It also includes educational resources about technical processes for unfairness mitigation. Key components of the fairness package are a metric to access which groups are negatively affected by a model and algorithms for mitigating unfairness in AI tasks. They include several example notebooks to show users how to use their library.