Authorizes the Rhode Island Attorney General's Office to regulate large-scale generative AI models, ensuring that they meet disclosure, informed consent, and data management standards.
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 6-8 subdomains, with strong focus on privacy protection (2.1), security vulnerabilities (2.2), unfair discrimination (1.1), fraud and manipulation (4.3), lack of transparency (7.4), and governance failure prevention (6.5). Coverage is concentrated in privacy, security, discrimination prevention, and basic AI safety 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 governs AI use primarily in the Information sector, as it regulates companies operating large-scale generative AI models like ChatGPT. The regulation applies to AI developers and operators regardless of the end-use sectors their products may serve.
Hard Law
Legislative Status Summary
This is a binding state legislative act with mandatory requirements, enforcement mechanisms through the Attorney General, and legal penalties for non-compliance.
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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 covers multiple lifecycle stages with primary focus on Build and Use Model (through design and development requirements), Deploy (through registration requirements), and Operate and Monitor (through ongoing risk assessments and compliance). It also addresses data collection and processing through privacy and consent requirements.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly defines and regulates 'large-scale generative artificial intelligence models' with specific parameter thresholds (1 billion parameters). It focuses on generative AI systems like ChatGPT. There is no mention of frontier AI, general purpose AI, task-specific AI, foundation models, predictive AI, open-weight models, or compute thresholds beyond the parameter count.
Document data from AGORA, CSET Emerging Technology Observatory.