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.
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Jul 21, 2026 - Python
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adverse-impact
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Risk-tiered human oversight for AI hiring agents. Scores every agent action 0-100, routes it across four autonomy tiers, and evidences the human decision in a hash-chained append-only ledger. A four-fifths adverse-impact monitor runs on real recruitment data and auto-escalates flagged requisitions. Mapped to EU AI Act Art. 14/50 and NYC LL144.
python flask prd product-management human-in-the-loop ai-agents audit-trail talent-acquisition algorithmic-fairness responsible-ai hr-tech bias-audit ai-compliance ai-governance agentic-ai eu-ai-act human-oversight nyc-local-law-144 four-fifths-rule adverse-impact
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Sep 4, 2026 - Python
California RIF Copilot is an Deterministic workforce restructuring platform that helps employers plan layoffs, analyze financial impact, flag WARN and adverse-impact risks, calculate final pay and severance, generate documents, and manage HR/legal approvals through one auditable California-focused system.
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Sep 1, 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
python fairness bias-detection ai-ethics responsible-ai hr-analytics ai-governance eeoc algorithmic-auditing nist-ai-rmf employment-law adverse-impact
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Aug 6, 2026 - Python
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.
ats fairness psychometrics resume-parsing bias-audit aedt eeoc adverse-impact algorithmic-hiring local-law-144
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Sep 7, 2026 - HTML
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