New York A 6767 (AI Companion Models)

• Authority: New York
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Defunct
• Most recent activity date: 2026-01-07

Risk subdomain coverage

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

• Overreliance and unsafe use
• 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.

• False or misleading information
• Fraud, scams, and targeted manipulation
• Loss of human agency and autonomy
• AI pursuing its own goals

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document primarily addresses human-computer interaction risks (5.1, 5.2), AI system safety and transparency (7.3, 7.4), with some coverage of misinformation (3.1) and fraud risks (4.3). The focus is concentrated on protecting users from overreliance on AI companions and ensuring transparency about AI nature, with safety protocols for crisis situations.

Sector coverage

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

• Information

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

The document primarily governs the Information sector, specifically operators of AI companion platforms and digital interaction services. There is minimal reference to Health Care and Social Assistance through crisis service provider referrals, but these services are not directly regulated by this statute.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding state statute enacted by the New York Legislature with mandatory requirements, legal prohibitions, and enforceable private right of action for damages.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The document is a state legislative bill enacted by the New York Legislature, as indicated by the enacting clause.

Target

• Entity Types: AI_Deployer
• Summary: The law applies to operators who provide AI companion services to users, requiring them to implement safety protocols and notifications.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: Enforcement is accomplished through private civil actions brought in courts, with no specific regulatory agency designated for enforcement.

Monitor

• Entity Types: Affected_Stakeholder
• Summary: The law relies on private enforcement by injured parties rather than establishing a formal monitoring body. Affected users monitor compliance through their ability to bring legal action.

AI Lifecycle Stages

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

• Plan and Design
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily addresses the Deploy and Operate and Monitor stages of the AI lifecycle. It regulates how AI companion systems must be deployed with safety protocols and how they must operate with ongoing user notifications. There is minimal coverage of design requirements (protocols must be designed in) but no explicit coverage of data collection, model building, or validation stages.

Technical Scope

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

• AI Models
• AI Systems
• Generative AI
• Task-specific AI

Technical Scope Summary

The document explicitly defines and covers AI systems (AI companions), AI models, and generative artificial intelligence. It also defines emotional recognition algorithms. There is no mention of frontier AI, general purpose AI, foundation models, compute thresholds, or open-weight models.