adverse-impact
Bias-audit artifacts for automated employment decision tools: NYC LL144 selection/scoring rates and impact ratios, EEOC four-fifths adverse-impact flags, and a score-traceability schema.
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
Open, auditable implementations of the algorithms behind ATS resume screening and gamified hiring assessment. EEOC four-fifths analysis, NYC LL144 bias audits, counterfactual perturbation testing, and published psychometric task paradigms.
