Increasing AI Capacity Across the Federal Government: AI Talent Surge Progress and Recommendations

• Authority: Executive Office of the President
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. regulations, executive orders, and agency policies
• Most recent activity: Enacted
• Most recent activity date: 2024-04-26

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
• Competitive dynamics
• Governance failure
• Lack of transparency or interpretability

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 approximately 3-4 subdomains. Coverage is concentrated on governance failure (6.5), competitive dynamics (6.4), and lack of transparency (7.4). The document primarily focuses on workforce development and hiring rather than AI risk mitigation.

Sector coverage

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

• Public Administration (excl. National Security)
• National Security

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

• Information
• Scientific Research & Development Services
• Educational Services
• Health Care & Social Assistance

All other sectors had no coverage in this document.

Sectors Summary

This document governs AI talent recruitment and workforce development across all Federal Government agencies and operations. As an internal government policy document, it primarily governs Public Administration (excluding National Security) and National Security sectors, with mentions of AI applications in Health Care, Information, and other sectors where federal agencies operate.

Legislative Status

Other

Legislative Status Summary

This is an internal government progress report and policy recommendation document implementing Executive Order 14110. It describes hiring initiatives, training programs, and makes recommendations for future action rather than establishing binding legal obligations.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: Executive Office of the President; AI and Tech Talent Task Force; Office of Management and Budget (OMB); Office of Personnel Management (OPM); U.S. Digital Service (USDS)
• Summary: The document is authored by the Executive Office of the President and describes initiatives led by the AI and Tech Talent Task Force, OMB, OPM, and USDS to implement Executive Order 14110's National AI Talent Surge.

Target

• Entity Types: AI_Governance_Actor
• Entities: Federal agencies; Department of Veterans Affairs (VA); Social Security Administration (SSA); Department of Homeland Security (DHS); Department of Energy (DOE); National Science Foundation (NSF); General Services Administration (GSA); over 15 agencies
• Summary: The document targets Federal agencies that need to hire AI talent and build AI capacity. Specific agencies mentioned include VA, SSA, DHS, DOE, NSF, and GSA. The initiatives apply to government agencies seeking to recruit and retain AI professionals.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Office of Personnel Management (OPM); Office of Management and Budget (OMB); AI and Tech Talent Task Force; Chief AI Officer Council
• Summary: OPM and OMB have authority to issue guidance, grant hiring authorities, and oversee implementation. The AI and Tech Talent Task Force coordinates efforts, and the Chief AI Officer Council works to address infrastructure gaps.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: AI and Tech Talent Task Force; Office of Management and Budget (OMB); Office of Personnel Management (OPM); Chief AI Officer Council; Chief Data Officer Council
• Summary: The AI and Tech Talent Task Force monitors hiring progress through surveys and tracking. OMB oversees agency compliance with M-24-10. The Chief AI Officer Council and Chief Data Officer Council monitor implementation and identify gaps.

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 addresses multiple AI lifecycle stages with primary focus on Deploy and Operate and Monitor stages. It covers planning through Chief AI Officers, building AI models through hiring data scientists and engineers, verification through hiring for testing roles, deployment through DHS AI Corps and agency implementations, and ongoing monitoring through pulse surveys and Chief AI Officer oversight.

Technical Scope

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

• AI Models
• AI Systems
• Generative AI

Technical Scope Summary

The document uses general terminology referring to 'AI' and 'AI systems' throughout but does not explicitly define or distinguish between AI models, AI systems, frontier AI, general purpose AI, foundation models, generative AI, or other specific AI categories. It mentions generative AI tools in the context of employee access. No compute thresholds or open-weight models are discussed.