Microsoft Fairlearn

Fairlearn is an open-source, community-driven Python toolkit designed to help data scientists assess and improve fairness in AI systems. It is intended for practitioners who need to evaluate and mitigate fairness issues in machine learning models, such as those used for credit-card default predictions. The toolkit provides metrics and algorithms for both assessment and mitigation of fairness problems, but the project emphasizes that fairness is sociotechnical, meaning that addressing unfairness involves understanding societal context alongside technical processes. Fairlearn’s capabilities include the ability to assess how different groups, defined by attributes like sex, are affected by model predictions and to observe how disparities may be mitigated. The project also offers guides, use cases, and community resources to support users in thinking about fairness beyond just running code. Users can install the package via pip from PyPI and access additional materials through the project’s user guide and community channels.