Utah SB 96 (Emerging Technology Talent Initiative 2020)

• Authority: Utah
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2020-03-30

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 developing deep technology education programs, including AI, at Utah higher education institutions. It does not address specific AI risks, harms, or mitigation measures described in the MIT taxonomy.

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.

• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs Educational Services by establishing funding and oversight for deep technology programs at Utah higher education institutions. It does not directly regulate AI use in other economic sectors, though it aims to prepare workforce participants for jobs requiring deep technology skills across various industries.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding state legislative act (Utah SB 96) enacted by the Utah Legislature with mandatory language, appropriations, and enforcement mechanisms through the State Board of Regents.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Utah Legislature; State Board of Regents
• Summary: The document was enacted by the Utah Legislature and establishes a program to be developed and overseen by the State Board of Regents.

Target

• Entity Types: AI_Governance_Actor
• Entities: University of Utah; Utah State University; Southern Utah University; Weber State University; Snow College; Dixie State University; Utah Valley University; Salt Lake Community College; participating employers
• Summary: The initiative targets Utah higher education institutions that can submit proposals for funding to develop deep technology programs, including partnerships with employers.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: State Board of Regents; Deep Technology Talent Advisory Council
• Summary: The State Board of Regents has authority to oversee the initiative, review proposals, and allocate funding. The Advisory Council reviews and prioritizes proposals and makes recommendations.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: State Board of Regents; Education Interim Committee; Higher Education Appropriations Subcommittee
• Summary: The Board of Regents monitors program implementation through annual reporting requirements from funded institutions. The Board reports to legislative committees annually.

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 address specific AI lifecycle stages. It establishes an educational funding initiative to develop workforce talent in deep technology including AI, but does not govern the development, deployment, or operation of AI systems themselves.

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 type of deep technology but does not define or distinguish between AI models, systems, or specific types. It is focused on education and workforce development rather than technical AI governance.