Product listing
Aequitas
From Center for Data Science and Public Policy
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AI Software Product · Responsible-AI platforms · AI Governance & Assurance
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- Directory-only
Ranking status: Directory listing
Aequitas is an open-source bias auditing and fair machine learning toolkit published by the Center for Data Science and Public Policy at The University of Chicago. It is distributed through GitHub for teams that want to audit model outputs for bias and fairness.
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Category: Responsible-AI platforms · Center for Data Science and Public Policy
TrustMark reading
Where this product sits
Aequitas is classified as Responsible-AI platforms. Responsible-AI platforms help teams document fairness, transparency and human oversight practices. They are ethics and documentation workflows, distinct from security testing or a legal GRC suite. Buyers should not treat a completed questionnaire as independent assurance.
Buyers typically come to Responsible-AI platforms because product teams cannot show how they considered harm, fairness or human oversight. Classification is not a finding that this product solves that job.
This is TrustMark's classification reading for buyers comparing Responsible-AI platforms products. It is not an Assurance Score, certificate, or ranked position.
What it is
Product classification
AI Software Product
Aequitas is an open-source bias auditing and fair machine learning toolkit published by the Center for Data Science and Public Policy at The University of Chicago. It is distributed through GitHub for teams that want to audit model outputs for bias and fairness.
Responsible-AI platforms · AI Governance & Assurance
What it does
How this product is used
- Capabilities
- Not specified
- Sectors
- Cross-industry / not specified
- Deployment
- Not specified
- Autonomy
- ASSISTIVE
- Data exposure
- Not specified
Verified claims
What has been independently checked
- Independently verified· Domain association: Verified
- This only confirms the listing is tied to a checked company website domain. It is not a product assessment, certificate, review star, or ranked position.
Supplier-provided information
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What the vendor’s website says · supplier-provided, not verified evidence
Aequitas is an open-source bias auditing and fair machine learning toolkit published by the Center for Data Science and Public Policy at The University of Chicago. It is distributed through GitHub for teams that want to audit model outputs for bias and fairness.
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Category context
Why buyers look at Responsible-AI platforms
Responsible-AI platforms help teams document fairness, transparency and human oversight practices. They are ethics and documentation workflows, distinct from security testing or a legal GRC suite. Buyers should not treat a completed questionnaire as independent assurance.
Product teams cannot show how they considered harm, fairness or human oversight.
This is category context, not an independent assessment of Aequitas. Vendor-claimed differences are listed above. Assessment results appear only after examination.
Where to get more information
Other products from Center for Data Science and Public Policy
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Why complete verification
Completing verification can improve the quality of the public evidence available on this product profile. Useful verified information can deepen the profile and make public questions about the named product more answerable. It does not buy directory ranking, review stars, a higher Assurance Score, a favourable certificate outcome, or a guaranteed Google ranking.
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