Fairlearn

Fairlearn is an open-source, community-driven project aimed at helping data scientists enhance the fairness of AI systems. It offers valuable resources such as user guides, example notebooks, and contributor guidelines. The importance of considering AI fairness as a sociotechnical issue is emphasized, as there are numerous complex sources of unfairness and various mitigation processes. For instance, in the context of credit-card default models, Fairlearn can be used to assess and mitigate fairness issues. Users can get started by installing the Fairlearn package and referring to the provided resources. The Fairlearn community is diverse, consisting of open source contributors, data science practitioners, and responsible AI enthusiasts. They can contribute in various ways, including providing case studies, documentation, or code. The project is maintained by a group of dedicated individuals, and users are encouraged to join the effort to evolve the toolkit together.