Open-source statistical engine for auditing AI employment decision systems: adverse impact analysis under the Uniform Guidelines (29 CFR 1607), name-swap bias testing, and model drift detection
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Updated
Oct 7, 2026 - Python
Open-source statistical engine for auditing AI employment decision systems: adverse impact analysis under the Uniform Guidelines (29 CFR 1607), name-swap bias testing, and model drift detection
AI resume screener with a built-in EEOC four-fifths and NYC Local Law 144 bias audit pipeline.
Synthetic people-data governance lab covering HR access risk, EEO data lineage, and workforce identity reconciliation across HRIS, Tableau, background screening, and client reporting. Demonstrates HRBP advising, HRIS analysis, business requirements, audit controls, and cross-functional program governance.
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