NYC Department of Consumer and Worker Protection (DCWP)
NYC Local Law 144 Independent Bias Audit Protocol
Standardized quantitative methodology for calculating selection rates and impact ratios across sex, race, and ethnicity for automated hiring tools.
Standard Type
Audit Protocol
Industry Standard
Core Implementation Pillars
- • Independent third-party auditor engagement verification
- • Four-fifths (80%) rule disparate impact ratio computation
- • Intersectional demographic analysis (gender x ethnicity combinations)
- • Mandatory public posting of audit certificate and summary metrics
Explore Other Technical Governance Frameworks
European Commission & Notified Bodies
EU AI Act Article 43 CE Conformity Assessment Roadmap
National Institute of Standards and Technology (NIST)
NIST AI 100-1 Risk Management Framework (AI RMF)
International Organization for Standardization (ISO / IEC)
ISO/IEC 42001:2023 AI Management System (AIMS)
Coalition for Content Provenance and Authenticity (C2PA) & EU AI Office
C2PA & Article 50 Synthetic Media Watermarking Standard