About Fairlearn
What is 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.
How to use Fairlearn?
To use Fairlearn, you can access their platform through their website. You'll need to sign up for an account and obtain API keys. The platform documentation provides details on how to make requests and integrate the models into your applications.
What Are the Key Features of Fairlearn?