Aequitas bias audit toolkit View website

Aequitas is an open source bias audit toolkit developed by the Center for Data Science and Public Policy at University of Chicago. It can be used to audit the predictions of machine learning based risk assessment tools to understand different types of biases, and make informed decisions about developing and deploying such systems. A web audit tool, python library and CLI is currently available for public use.