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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
Profile of evidence-bundle-spec scoped to AI employment-tool bias coverage. NYC LL 144 annual-bias-audit + EEOC AI Guidance + UGESP four-fifths-rule + 2-SD test + Bostock + ADA accommodation-pathway-impairment. HR Tech scaffolding, not certification.
Multi agent AI that audits hiring documents for bias. Three specialist agents analyse every document in parallel. A synthesis engine weighs their agreement & a red team challenges every finding before it reaches you
HR Tech Operator: per-jurisdiction lifecycle ledger of US state + local employment-AI laws. First Suite tracker supporting sub-state jurisdictions (US-XX-CITY pattern). Seed: NYC LL 144, IL 820 ILCS 42 + HB 3773, MD HB 1202, CA AB 331, CO SB 24-205.