HR 3375 AI Training Extension Act of 2025 (Amend the Artificial Intelligence Training for the Acquisition Workforce Act to expand AI training)

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Proposed
• Most recent activity date: 2025-06-05

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

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal risk domain coverage. It briefly mentions security and privacy risks (2.1, 2.2) as topics to be included in federal employee training programs. The document is primarily procedural, establishing training requirements rather than directly addressing or mitigating specific 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)

All other sectors had no coverage in this document.

Sectors Summary

This legislation exclusively governs the Public Administration sector, specifically the federal executive branch. It mandates AI training for federal employees across acquisition, management, supervisory, and technical positions.

Legislative Status

Hard Law

Legislative Status Summary

This is a federal bill from the United States Congress that creates binding legal obligations using mandatory language ('shall establish', 'shall incorporate') and amends existing federal law to require the Administrator of General Services to establish mandatory AI training programs for federal employees.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The bill was introduced by Members of Congress and referred to the Committee on Oversight and Government Reform, which are the proposing entities for federal legislation.

Target

• Entity Types: AI_Governance_Actor, AI_User
• Summary: The training program explicitly targets federal employees in various roles within executive agencies, who are both governance actors (as government employees) and AI users (as those who will use AI in their work).

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Administrator of General Services is designated as the primary authority to establish and manage the training program, coordinating with the OMB Director.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Administrator is required to establish feedback mechanisms and update the program based on participant input, indicating a monitoring role.

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
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document addresses multiple AI lifecycle stages as training topics, with coverage spanning development, data processing, deployment, and management of AI systems. The training program is intended to provide federal employees with knowledge across the full AI lifecycle from data collection through operational deployment.

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 'AI' and 'artificial intelligence systems' without specifying particular types of AI or technical characteristics. It does not mention frontier AI, general purpose AI, foundation models, generative AI, or compute thresholds. The focus is on broad AI knowledge applicable across different AI applications in government.