An open source bias audit toolkit for machine learning developers, analysts, and policymakers to audit machine learning models for discrimination and bias, and make informed and equitable decisions around developing and deploying predictive risk-assessment tools.

An open source machine learning toolkit to help data scientists, machine learning developers, and analysts quickly prototype, build and evaluate end-to-end predictive risk modeling systems for public policy and social good problems.