“Managing Active and Reserve Tech Talent Effectively Act of 2023”

Establishes a policy to build human capital infrastructure for AI skills in the Armed Forces. Requires career field alignment with AI roles, assessment, and tracking of skills. Utilizes reserve components' civilian AI expertise. Mandates implementation plans and progress reporting.

  • 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.

  • Competitive dynamics

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal coverage of AI risk domains, with only subdomain 6.4 (Competitive dynamics) receiving a coverage score above 1. The document primarily focuses on workforce development and human capital infrastructure for AI skills in the Armed Forces, rather than addressing specific AI risks and harms. The competitive dynamics aspect is addressed through the strategic imperative to maintain military advantage over adversaries.

Sector coverage

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

  • National Security

All other sectors had no coverage in this document.

Sectors Summary

This document exclusively governs the National Security sector, specifically addressing human capital infrastructure for AI skills within the Armed Forces, military departments, and reserve components. No other economic sectors are regulated or governed by this Act.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress with mandatory obligations on the Secretary of each military department, enforceable through congressional oversight and budget appropriations processes.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress
  • Summary: The document is an Act of Congress, as indicated by the title 'Managing Active and Reserve Tech Talent Effectively Act of 2023' and the legislative structure with sections beginning with 'SECTION 1. SHORT TITLE.'

Target

  • Entity Types: AI_Governance_Actor
  • Entities: Secretary of each military department; Department of Defense; military departments; Armed Forces; reserve components; Assistant Secretary of the military department for Manpower and Reserve Affairs; Chief Digital and Artificial Intelligence Officer of the Office of the Secretary of Defense; Chief of the Reserve Command; Chief of the National Guard Bureau
  • Summary: The Act applies to and regulates the military departments and Department of Defense entities, requiring them to establish human capital infrastructure for AI skills. The targets are government entities responsible for implementing the policy, not private sector AI developers or deployers.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Committees on Armed Services of the Senate and the House of Representatives; United States Congress
  • Summary: Congressional oversight is the primary enforcement mechanism, with the Armed Services Committees receiving mandatory implementation plans and annual budget updates to monitor compliance.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Committees on Armed Services of the Senate and the House of Representatives
  • Summary: The Armed Services Committees monitor implementation through required annual budget justification materials that must include updates on policy implementation until all milestones are met.

AI Lifecycle Stages

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

No lifecycle stages identified.

AI Lifecycle Summary

The document does not directly govern specific AI lifecycle stages but rather focuses on workforce development and human capital infrastructure to support AI capabilities across all stages. It addresses the organizational capacity to develop, deploy, and operate AI systems through skilled personnel rather than technical requirements for AI systems themselves.

Technical Scope

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

  • AI Systems

Technical Scope Summary

The document mentions AI systems and artificial intelligence in the context of workforce skills and occupational areas. It references computer programming, coding, and artificial intelligence skills as capabilities needed by military personnel. The document does not define AI models, AI systems, or specify technical characteristics like compute thresholds or model types.

https://www.congress.gov/bill/118th-congress/senate-bill/1123
https://agora.eto.tech/instrument/431
Explore in the Document View

Document data from AGORA, CSET Emerging Technology Observatory.