AI Leadership Training Act

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Defunct
• Most recent activity date: 2025-01-03

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
• False or misleading information
• Disinformation, surveillance, and influence at scale
• Overreliance and unsafe use
• Lack of capability or robustness

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 discrimination/bias (1.1, 1.4), privacy concerns (2.1), misinformation (3.1), constitutional rights violations (4.1), overreliance (5.1), and AI system failures (7.3). Coverage is primarily conceptual rather than prescriptive, focusing on training content rather than risk mitigation measures.

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 document governs AI use exclusively within the Public Administration sector, specifically targeting executive agencies of the United States Federal Government. It does not regulate AI use in private sector industries or other economic sectors.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress with mandatory obligations on the Director of OPM and executive agencies, enforceable through Congressional oversight mechanisms.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is an Act of Congress, as indicated by the legislative format and structure. Congress is the proposing authority for this federal legislation.

Target

• Entity Types: AI_Governance_Actor
• Entities: Executive agencies of the United States Federal Government; Director of the Office of Personnel Management; covered employees (management officials, supervisors, and designated employees)
• Summary: The Act applies to executive agencies and their covered employees, requiring them to participate in AI leadership training. The Director of OPM is tasked with implementing the program.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Director of the Office of Personnel Management
• Summary: Congress has oversight authority to request information and ensure compliance. The Director of OPM is responsible for implementing and maintaining the program, establishing metrics, and responding to Congressional requests.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Director of the Office of Personnel Management
• Summary: The Director is required to establish participation metrics and collect feedback to monitor program effectiveness. Congress has explicit oversight authority to request information about program implementation.

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
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document covers AI lifecycle stages primarily through training content requirements rather than direct governance of AI development. It addresses planning and design through training on organizational considerations, verification and validation through training on testing and evaluation, deployment through training on deployment practices, and operation and monitoring through training on continuous refinement and auditing.

Technical Scope

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

• AI Systems

Technical Scope Summary

The document explicitly mentions AI and AI systems multiple times, defining AI by reference to existing federal law. It does not specifically mention frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds. The focus is on general AI capabilities and training rather than specific AI model types or technical specifications.