Utah House Bill 534

• Authority: Utah
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2024-03-21

Risk subdomain coverage

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal to no coverage of AI risk domains. It is primarily a funding and administrative framework for deep technology education programs, including AI. While it mentions AI as a technology area, it does not address specific AI risks, harms, or safety concerns outlined in the MIT taxonomy. The document focuses on educational program development, employer collaboration, and reporting requirements rather than risk mitigation.

Sector coverage

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

• Educational Services

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

• Information
• Professional & Technical Services
• Scientific Research & Development Services
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the Educational Services sector by establishing requirements for higher education institutions in Utah to develop deep technology programs. It has minimal coverage of other sectors through references to employer partnerships and workforce preparation, but the core governance applies to educational institutions.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding state legislative amendment (Utah House Bill 534) that amends existing law with mandatory requirements for the Utah Board of Higher Education and institutions of higher education. It contains enforceable obligations including mandatory reporting requirements and specific procedural requirements.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Utah State Legislature; Utah House of Representatives
• Summary: This is Utah House Bill 534, a legislative amendment proposed and enacted by the Utah State Legislature through the House of Representatives.

Target

• Entity Types: AI_Governance_Actor
• Entities: Utah Board of Higher Education; University of Utah; Utah State University; Southern Utah University; Weber State University; Snow College; Utah Tech University; Utah Valley University; Salt Lake Community College; participating employers
• Summary: The bill applies to the Utah Board of Higher Education (which must oversee the initiative) and all listed institutions of higher education in Utah that may participate in deep technology programs. It also applies to employers who partner with these institutions.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Utah Board of Higher Education; Higher Education Appropriations Subcommittee
• Summary: The Utah Board of Higher Education has authority to approve proposals, provide funding, and require compliance with reporting requirements. The Higher Education Appropriations Subcommittee provides oversight and receives reports.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Utah Board of Higher Education; Education Interim Committee; Higher Education Appropriations Subcommittee
• Summary: The Board monitors program implementation through annual reporting requirements from institutions. The Education Interim Committee and Higher Education Appropriations Subcommittee receive annual reports for legislative oversight.

AI Lifecycle Stages

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

No lifecycle stages identified.

AI Lifecycle Summary

The document does not directly govern specific AI lifecycle stages. Instead, it establishes an educational framework for training students in deep technology skills, including AI. The focus is on educational program development and workforce preparation rather than AI system development, deployment, or monitoring.

Technical Scope

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

No technical scope terms identified.

Technical Scope Summary

The document mentions artificial intelligence as one area of deep technology but does not define or distinguish between different types of AI systems, models, or technical specifications. It treats AI as an educational subject area rather than providing technical governance of AI systems.