Utah HB 168 (Artificial Intelligence in Education 2025)

• Authority: Utah
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Defunct
• Most recent activity date: 2025-03-07

Risk subdomain coverage

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

• Unfair discrimination and misrepresentation
• Unequal performance across groups
• Compromise of privacy
• AI system security vulnerabilities
• False or misleading information
• Loss of human agency and autonomy

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 (2.1), misinformation (3.1), and discrimination/bias (1.1, 1.3). Coverage is limited to identifying these as areas for the task force to study rather than implementing specific mitigations. The document primarily establishes a governance structure rather than addressing specific AI risks.

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 AI use in the Educational Services sector, with explicit focus on both K-12 public education and higher education institutions. It establishes oversight mechanisms specifically for educational settings and does not extend governance to other economic sectors.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act enacted by the Utah Legislature that creates a statutory task force with mandatory requirements, specific membership composition, and defined duties. The document uses mandatory language throughout and has legal force as state legislation.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Utah State Legislature; House of Representatives; Senate
• Summary: The document is a legislative bill enacted by the Utah Legislature, with members from both the House of Representatives and Senate involved in proposing and enacting this legislation.

Target

• Entity Types: AI_Governance_Actor, Affected_Stakeholder
• Entities: Public education institutions; Higher education institutions; Local education agencies; State Board of Education; Utah Board of Higher Education; Teachers; Administrators; Students
• Summary: The task force is directed to make recommendations to the Legislature, public education institutions, and higher education institutions regarding AI use in education. The document explicitly targets educational institutions and stakeholders in the education sector.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Office of Legislative Research and General Counsel; Education Interim Committee; Higher Education Appropriations Subcommittee
• Summary: The Office of Legislative Research and General Counsel provides staff support and oversight. The task force must comply with the Open and Public Meetings Act and report to legislative committees, which provide oversight and enforcement of the task force's statutory obligations.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Artificial Intelligence in Education Task Force; Office of Artificial Intelligence Policy; Education Interim Committee; Higher Education Appropriations Subcommittee
• Summary: The task force itself serves as the primary monitoring body for AI use in education, with responsibility to monitor trends and report annually. The Office of AI Policy coordinates with the task force, and legislative committees receive and review annual reports.

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
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document does not focus on specific AI lifecycle stages but rather establishes a governance body to study AI use in education across all stages. It implicitly covers deployment and operation/monitoring through its focus on implementation guidelines, ongoing monitoring of trends, and maintaining oversight of AI use in educational settings.

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 uses the general term 'artificial intelligence' throughout without defining it or specifying particular types of AI systems, models, or technical thresholds. It does not distinguish between AI models, AI systems, or specific categories like generative AI, foundation models, or compute thresholds.