Data as of Aug 25, 2026 · Based on 3,181,687 AI responses across 10,525 prompts · See how Parse measures this
Aequitas is an open source bias audit toolkit for machine learning developers, analysts, and policymakers to audit ML models for discrimination and bias. It allows audits across multiple fairness metrics to inform equitable decisions around developing and deploying predictive risk assessment tools.
Parse Score
#35 of 139 in Algorithmic Bias Auditing Services
Sources
datasciencepublicpolicy.org shapes more of what AI says about Aequitas than any other source, at 29% of its citations.
crescendo.ai · github.com · metamindz.co.uk · onlinelibrary.wiley.com
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Algorithmic Bias Auditing Services →Where AI ranks Aequitas
Excerpts where Aequitas appeared in the AI's answer

Aequitas: Created by the Center for Data Science and Public Policy at the University of Chicago, Aequitas is an open-source bias audit toolkit

Aequitas : An open-source bias audit toolkit from the University of Chicago