Amends laws to require New York government agencies to disclose, assess, and submit reports on their use of AI decision-making tools. Ensures human oversight, prohibits biased outcomes, and protects employee rights regarding AI's impact on employment and duties.
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 provides good coverage of approximately 10-11 risk subdomains. Strong focus on discrimination and fairness risks (1.1, 1.3), privacy and security (2.1, 2.2), human oversight and agency (5.1, 5.2), employment impacts (6.2, 6.3), and system transparency and robustness (7.1, 7.3, 7.4). Coverage is concentrated in fairness, transparency, human oversight, and employment protection domains.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
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 primarily governs the Public Administration sector, with extensive specific provisions for Educational Services. It applies to all New York government agencies at state, county, city, town, and village levels, including public authorities, educational institutions, and civil service operations.
Hard Law
Legislative Status Summary
This is a binding New York State legislative act with extensive mandatory language ('shall', 'must', 'required') that creates legally enforceable obligations on government agencies to conduct impact assessments, publish disclosures, and cease use of discriminatory AI tools.
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 comprehensively covers all AI lifecycle stages from planning through ongoing monitoring. It requires detailed documentation of planning objectives, data collection and processing, model building and algorithms, verification and validation testing, pre-deployment submissions, and operational monitoring through biennial impact assessments.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and covers 'automated decision-making tools' and references 'artificial intelligence systems' as defined in another section of state technology law. It does not specifically mention frontier AI, general purpose AI, foundation models, generative AI, predictive AI, compute thresholds, or open-weight models. The focus is on automated decision-making tools used by government agencies regardless of the specific AI technology type.
Document data from AGORA, CSET Emerging Technology Observatory.