Fairlearn

Fairlearn provides a comprehensive framework to assess, understand, and mitigate fairness concerns in AI models. It includes metrics for evaluating fairness across different groups, algorithms to reduce bias during model training, and visualization tools to interpret fairness results. The toolkit supports integration with popular Python ML libraries and is used in both research and production settings to ensure responsible AI deployment. Fairlearn is widely adopted by academic researchers, data scientists, and organizations aiming to build equitable AI systems while maintaining predictive performance.