Enacts the "Artificial Intelligence Deceptive Practices Act." Expands privacy rights against unauthorized use of likenesses through AI. Establishes liability for creating or distributing deceptive AI-altered media, particularly in election contexts. Defines penalties and enforcement mechanisms, including damages and injunctions.
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 8-10 subdomains, with strong focus on malicious actors (4.1, 4.3), misinformation (3.1, 3.2), privacy compromise (2.1), and human-computer interaction risks (5.1). Coverage is concentrated in misuse prevention, deceptive AI practices, and protection against AI-generated false content, particularly in election contexts.
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
The document primarily governs activities across Information (media, publishing, telecommunications), Professional and Technical Services (advertising, marketing), and Public Administration (elections). It also has significant implications for Arts, Entertainment, and Recreation sectors where AI-generated content may be used.
Hard Law
Legislative Status Summary
This is a binding legislative act from the New York State Assembly that amends multiple sections of New York Civil Rights Law, Penal Law, and Election Law with mandatory obligations, criminal penalties, and civil enforcement mechanisms.
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 does not focus on specific AI lifecycle stages but rather on the outputs and uses of AI systems after deployment. It primarily addresses the distribution, publication, and dissemination of AI-generated or AI-altered content, which relates most closely to the Deploy and Operate/Monitor stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document extensively covers AI systems and AI-generated content through its definition of 'digitization' which encompasses software, machine learning, and artificial intelligence. It does not explicitly mention frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on generative AI capabilities that create or alter realistic depictions.
Document data from AGORA, CSET Emerging Technology Observatory.