Fairness, Accountability, Transparency

An open-source toolkit of metrics to check for unwanted bias in datasets and machine learning models, and state-of-the-art algorithms to mitigate such bias. Containing over 70 fairness metrics and 10 bias mitigation algorithms, it’s designed to turn fairness research into practical applications.

Toolkit to create factsheets outlining the details about how an AI service operates, how it was trained and tested, its performance metrics, fairness and robustness checks, intended uses, maintenance, and other critical details.