Artificial Intelligence Training for the Acquisition Workforce Act

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Enacted
• Most recent activity date: 2022-10-17

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
• Compromise of privacy
• 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 (1.1) and privacy risks (2.1). The primary focus is on establishing a training program rather than addressing specific AI risks or harms. Coverage is limited to acknowledging risks exist without detailed 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)

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

• Professional & Technical Services
• Scientific Research & Development Services
• Educational Services
• National Security

All other sectors had no coverage in this document.

Sectors Summary

This Act primarily governs Public Administration (excluding National Security) by mandating AI training for the federal acquisition workforce across executive agencies. It explicitly excludes National Security sectors (Department of Defense and National Nuclear Security Administration). The training program indirectly affects all sectors that contract with or are procured by the federal government.

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 the Office of Management and Budget to establish and implement an AI training program.

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: Office of Management and Budget (Director); Administrator of General Services; executive agencies; covered workforce (employees of executive agencies responsible for program management, procurement, contracting, logistics, cost estimating, and other designated personnel)
• Summary: The Act applies to the Director of OMB who must establish the training program, and to the covered workforce within executive agencies (excluding Department of Defense and National Nuclear Security Administration) who are the intended participants in the training program.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Office of Management and Budget (Director)
• Summary: The Director of OMB is responsible for implementing and overseeing the AI training program, ensuring metrics exist for measuring participation, and updating the program biennially.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: Office of Management and Budget (Director)
• Summary: The Director is explicitly tasked with establishing metrics to understand and measure participation in the training program and to receive feedback for continuous improvement.

AI Lifecycle Stages

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

• Plan and Design
• Build and Use Model
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document does not focus on specific AI lifecycle stages but rather on training the acquisition workforce about AI capabilities and risks across all stages. It addresses knowledge-building about AI systems generally, including their development, benefits, risks, and future trends, without targeting specific lifecycle phases.

Technical Scope

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

• AI Systems

Technical Scope Summary

The document uses the term 'AI' and 'artificial intelligence' throughout but does not explicitly define or distinguish between AI models, AI systems, or specific types of AI such as frontier AI, general purpose AI, foundation models, or generative AI. It references AI broadly without technical specifications or compute thresholds.