New York S933 (Establishes the position of chief artificial intelligence officer)

• Authority: New York
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Proposed
• Most recent activity date: 2026-03-05

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• AI system security vulnerabilities
• Governance failure
• Lack of capability or robustness
• Lack of transparency or interpretability

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• Unfair discrimination and misrepresentation
• Compromise of privacy
• False or misleading information
• Disinformation, surveillance, and influence at scale
• Fraud, scams, and targeted manipulation
• Loss of human agency and autonomy
• Increased inequality and decline in employment

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 6-8 subdomains, with strong focus on governance failure (6.5), AI system security (2.2), lack of transparency (7.4), and lack of robustness (7.3). Coverage is concentrated in governance structures, system safety, and operational oversight domains. The document addresses risks through establishing oversight mechanisms, audit procedures, and risk management frameworks.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• Public Administration (excl. National Security)

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Health Care & Social Assistance

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs Public Administration (excluding National Security) with comprehensive coverage, as it establishes AI governance requirements specifically for New York State government agencies, departments, boards, commissions, and authorities. All other sectors are not directly governed by this legislation.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act ('do enact as follows') that establishes mandatory legal obligations, creates government offices with enforcement authority, and uses mandatory language throughout ('shall'). It amends the state technology law with legally enforceable provisions.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: New York State Legislature (Senate and Assembly); Governor of New York
• Summary: The document is a legislative act proposed and enacted by the New York State Legislature, as indicated by the opening statement and the requirement for gubernatorial appointment with senate consent.

Target

• Entity Types: AI_Governance_Actor, AI_Deployer
• Entities: New York State departments, boards, commissions, agencies and authorities
• Summary: The legislation explicitly targets state government entities that use, procure, develop, or deploy AI systems and automated decision-making systems, requiring them to comply with policies and oversight established by the Chief AI Officer.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Chief Artificial Intelligence Officer; Office of Artificial Intelligence; Office of Information Technology Services
• Summary: The Chief AI Officer is granted explicit authority to investigate, audit, recommend system deactivation, and ensure compliance with state and federal laws regarding AI use by state agencies.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Chief Artificial Intelligence Officer; Advisory Committee for State Artificial Intelligence Policy; New York State Legislature (Senate and Assembly)
• Summary: The Chief AI Officer is required to conduct periodic audits and submit annual reports to the legislature. An advisory committee is established to provide ongoing oversight and recommendations on AI policy implementation.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Collect and Process Data
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document comprehensively covers multiple AI lifecycle stages with particular emphasis on Plan and Design, Verify and Validate, Deploy, and Operate and Monitor. It establishes governance frameworks spanning from initial policy development through ongoing operational oversight and auditing.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• AI Models
• AI Systems
• Predictive AI

Technical Scope Summary

The document explicitly defines and covers both AI and automated decision-making systems broadly. It does not specifically mention frontier AI, general purpose AI, foundation models, or compute thresholds. The definitions are comprehensive and include various AI capabilities from sensing and processing to autonomous operation.