Mandates automated decision tools sold in New Jersey to undergo a bias audit before sale, offer annual free audits, and disclose these requirements; it also requires users of these tools to notify screened candidates within 30 days. Imposes civil penalties (fines) for violations.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document primarily addresses discrimination and bias risks (1.1, 1.3) in automated employment decision tools. It has good coverage of these fairness-related risks through mandatory bias audits and compliance with anti-discrimination law. There is minimal coverage of transparency issues (7.4) through notification requirements. The document does not substantially address other risk domains such as privacy, misinformation, malicious actors, or broader socioeconomic impacts beyond employment discrimination.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This document governs AI use across all economic sectors that engage in hiring and employment decisions within New Jersey. It is a cross-sectoral employment regulation that applies to any organization using automated employment decision tools, regardless of their primary industry. The regulation does not target specific sectors but rather a specific business function (hiring) that occurs across all sectors.
Hard Law
Legislative Status Summary
This is a binding legislative act from the New Jersey state legislature with mandatory requirements, civil penalties for violations, and designated enforcement authority through the Commissioner of Labor and Workforce Development.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily covers the Deploy and Operate and Monitor stages of the AI lifecycle. It mandates bias audits before sale (pre-deployment validation) and annual audits post-sale (ongoing monitoring). There is minimal coverage of earlier stages like design, data collection, or model building.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and regulates 'automated employment decision tools' which are AI systems used for employment decisions. It describes these as systems governed by statistical theory and various machine learning algorithms. The document is task-specific, focusing on employment screening tools, and does not mention frontier AI, general purpose AI, foundation models, generative AI, or compute thresholds.
Document data from AGORA, CSET Emerging Technology Observatory.