Makes it unlawful for an employer in New York to use or implement an automated decision tool to filter employment candidates or prospective candidates for hire that has not undergone a disparate impact assessment annually.
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 has good coverage of approximately 3-4 subdomains, with strong focus on unfair discrimination (1.1), unequal performance across groups (1.3), and governance failure (6.5). Coverage is concentrated in discrimination and toxicity, and socioeconomic domains, specifically addressing employment discrimination risks from automated decision tools.
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 regulation applies broadly across all economic sectors as it governs any employer in New York State that uses automated employment decision tools for hiring. The law is sector-agnostic, applying to employers regardless of their industry, though it would have particular relevance for sectors with high-volume hiring processes.
Hard Law
Legislative Status Summary
This is a binding legislative act from the New York State legislature with mandatory compliance requirements, enforcement mechanisms through the Attorney General and Commissioner, and unlawful designation for non-compliance.
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 focuses on the Deploy and Operate and Monitor stages of the AI lifecycle, requiring annual disparate impact assessments and ongoing monitoring of automated employment decision tools. It also implicitly covers Verify and Validate through mandatory testing requirements before deployment.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and covers automated employment decision tools, which include AI and machine learning systems. It specifically mentions neural networks, decision trees, random forests, and other AI/ML algorithms. The document focuses on task-specific AI for employment screening but does not mention frontier AI, general purpose AI, foundation models, generative AI, or compute thresholds.
Document data from AGORA, CSET Emerging Technology Observatory.