Rhode Island HB 6286

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.

  • Authority: Rhode Island
  • Parent authority: State governments
  • Jurisdiction: United States
  • Collections: U.S. state and local documents
  • Most recent activity: Defunct
  • Most recent activity date: 2024-06-16

Risk subdomain coverage

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

  • Compromise of privacy
  • Governance failure
  • 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
  • AI system security vulnerabilities
  • Fraud, scams, and targeted manipulation
  • Economic and cultural devaluation of human effort
  • Lack of capability or robustness

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.

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.

  • Scientific Research & Development Services

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.

Legislative Status

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.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: Representatives Carson, Baginski, and McNamara; Rhode Island General Assembly
  • Summary: The document is a legislative bill introduced by three named representatives in the Rhode Island General Assembly, as indicated in the header and introduction section.

Target

  • Entity Types: AI_Developer
  • Summary: The document explicitly targets companies that operate large-scale generative AI models with at least one billion parameters, such as ChatGPT. These are AI developers who create and operate generative AI systems.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Rhode Island Attorney General
  • Summary: The Attorney General is explicitly designated as the enforcement authority with power to promulgate regulations, maintain registries, and bring actions against violators.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Rhode Island Attorney General
  • Summary: The Attorney General is responsible for maintaining a public registry of all registered companies and overseeing compliance with the chapter's requirements.

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 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.

Technical Scope

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

  • AI Models
  • Compute Threshold
  • Generative AI

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.

https://legiscan.com/RI/bill/H6286/2023
https://agora.eto.tech/instrument/368
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Document data from AGORA, CSET Emerging Technology Observatory.