Utah Senate Bill 149, Chapter 70

• Authority: Utah
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2024-03-13

Risk subdomain coverage

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

• Compromise of privacy
• AI system security vulnerabilities
• Fraud, scams, and targeted manipulation
• Competitive dynamics
• Lack of capability or robustness
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of risk domains, with brief mentions of privacy/security (2.1, 2.2), malicious actors (4.3), and governance (6.5). The focus is on establishing governance structures rather than addressing specific AI risks. Most risk subdomains receive no coverage.

Sector coverage

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

• Agriculture, Mining, Construction & Manufacturing
• Trade, Transportation & Utilities
• Information
• Finance & Insurance
• Real Estate, Rental & Leasing
• Professional & Technical Services
• Scientific Research & Development Services
• Management, Administrative & Support Services
• Educational Services
• Health Care & Social Assistance
• Arts, Entertainment & Recreation
• Accommodation, Food & Other Services
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This is a cross-sectoral governance framework that applies to AI development and deployment across all economic sectors in Utah. The regulatory learning laboratory is designed to study AI applications broadly without sector-specific restrictions, though participants must be developing or deploying AI technologies within the state.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding state statute (Utah Senate Bill 149, Chapter 70) enacted by the Utah legislature with mandatory language, enforcement mechanisms, criminal penalties, and formal legal authority.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Utah State Legislature; Utah Senate
• Summary: This is Utah Senate Bill 149, enacted by the Utah State Legislature as Chapter 70 of state law.

Target

• Entity Types: AI_Developer, AI_Deployer
• Entities: Participants in the AI Learning Laboratory; artificial intelligence companies; persons using artificial intelligence technology in Utah
• Summary: The law targets persons and companies that develop, test, or deploy artificial intelligence technologies in Utah, particularly those participating in the regulatory learning laboratory program.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Office of Artificial Intelligence Policy; Department of Commerce; relevant state agencies
• Summary: The Office of Artificial Intelligence Policy, within the Department of Commerce, has authority to enforce compliance, remove participants, and coordinate with relevant state agencies. Criminal enforcement falls under standard state criminal justice system.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Office of Artificial Intelligence Policy; Business and Labor Interim Committee
• Summary: The Office monitors participants through reporting requirements, cybersecurity audits, and incident reporting. The Office reports annually to the Business and Labor Interim Committee on findings and outcomes.

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 AI lifecycle stages with primary focus on Deploy and Operate and Monitor stages through the regulatory learning laboratory program. It also addresses Plan and Design through consultation processes, and Verify and Validate through testing and risk assessment requirements.

Technical Scope

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

• Generative AI

Technical Scope Summary

The document explicitly mentions artificial intelligence, artificial intelligence technology, and generative artificial intelligence. It does not specifically mention AI models, AI systems, frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on broad artificial intelligence technologies without technical categorization.