Texas HB 3512 (Relating to artificial intelligence training programs for certain employees and officials of state agencies and local governments.)

• Authority: Texas
• Parent authority: State governments
• Jurisdiction: United States
• Collections: U.S. state and local documents
• Most recent activity: Enacted
• Most recent activity date: 2025-09-01

Risk subdomain coverage

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document does not substantively address specific AI risk domains from the MIT taxonomy. It is a procedural governance document establishing mandatory AI training requirements for government employees, but does not describe or regulate the specific harms and risks outlined in the taxonomy subdomains. The focus is on creating a governance mechanism (training) rather than addressing particular AI risks.

Sector coverage

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

• Public Administration (excl. National Security)

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

• Educational Services

All other sectors had no coverage in this document.

Sectors Summary

This document exclusively governs the Public Administration sector, specifically state agencies and local governments in Texas. It does not regulate AI use in private sector industries or other economic sectors beyond government operations.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding Texas state statute with mandatory requirements, enforcement mechanisms including financial penalties, and clear legal obligations using mandatory language throughout.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Texas Legislature; Legislature of the State of Texas
• Summary: The document is enacted by the Texas Legislature as a state bill, which is the formal legislative authority proposing and enacting this governance instrument.

Target

• Entity Types: AI_User, AI_Governance_Actor
• Entities: state agencies; local governments; state employees; local government employees; elected and appointed officials; school district employees; Department of Information Resources
• Summary: The legislation applies to state and local government employees and officials who use computers for at least 25% of their duties, requiring them to complete AI training. It also places obligations on the Department of Information Resources to certify training programs.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Department of Information Resources; criminal justice division; executive head of each state agency; governing body of local government
• Summary: The Department of Information Resources certifies training programs and develops verification forms. The criminal justice division makes compliance determinations. State agency heads and local government governing bodies verify and enforce completion requirements.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Department of Information Resources; governing bodies of local governments; executive heads of state agencies
• Summary: The Department of Information Resources receives compliance reports and develops verification forms. Local government governing bodies and state agency executive heads verify and monitor completion of training requirements, with requirements for periodic audits.

AI Lifecycle Stages

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

• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily addresses the Deploy and Operate and Monitor stages of the AI lifecycle. It focuses on training government employees to understand and implement best practices for deploying and operating AI technologies in their work responsibilities. The document does not cover earlier lifecycle stages such as planning, data collection, or model building.

Technical Scope

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

• AI Systems

Technical Scope Summary

The document uses general terminology referring to 'artificial intelligence technology,' 'artificial intelligence technologies,' and 'artificial intelligence systems' without specifying particular types of AI models or systems. It does not mention frontier AI, GPAI, foundation models, generative AI, or compute thresholds.