The Bias and Fairness Audit Toolkit for Machine Learning

_images/aequitas_header.png

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

Learn more about the project.