Servicemember Quality of Life Improvement and National Defense Authorization Act for Fiscal Year 2025, Section 222 ("Modification to artificial intelligence education strategy")

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: FY2025 NDAA;NDAA provisions
• Most recent activity: Enacted
• Most recent activity date: 2024-12-23

Risk subdomain coverage

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

• Governance failure

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal risk domain coverage, focusing primarily on AI education and training rather than specific AI risks. It has minimal coverage of governance structures (6.5) through its establishment of educational requirements, but does not address governance failures. No other risk domains are substantively covered.

Sector coverage

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

• National Security

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

• Educational Services

All other sectors had no coverage in this document.

Sectors Summary

This document exclusively governs the National Security sector, specifically requiring the Department of Defense to develop AI and ML education courses for Armed Forces members. It addresses AI education within military operations and defense contexts.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress as part of the National Defense Authorization Act for Fiscal Year 2025, with mandatory language requiring specific actions by Department of Defense officials within defined timeframes.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is Section 222 of the National Defense Authorization Act for Fiscal Year 2025, which is enacted by the United States Congress as indicated by the Public Law reference and legislative format.

Target

• Entity Types: AI_Governance_Actor, AI_User
• Entities: Chief Digital and Artificial Intelligence Officer of the Department of Defense; Under Secretary of Defense for Personnel and Readiness; members of the Armed Forces
• Summary: The document targets Department of Defense officials who must develop AI education courses, and members of the Armed Forces who will receive this training. The DoD officials are governance actors responsible for implementation, while Armed Forces members are the end users of the AI education.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: congressional defense committees; Secretary of Defense
• Summary: The congressional defense committees serve as the enforcement body through oversight and reporting requirements. The Secretary of Defense has enforcement authority over the implementation by subordinate officials.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: congressional defense committees; Secretary of Defense
• Summary: The congressional defense committees monitor implementation through mandatory progress reports. The Secretary of Defense monitors the Chief Digital and Artificial Intelligence Officer's implementation progress.

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
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document addresses AI education across the entire lifecycle, covering foundational concepts and the responsible design, development, acquisition, deployment, and use of AI applications. It does not focus on a single stage but rather on building competency across all stages through educational courses.

Technical Scope

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

No technical scope terms identified.

Technical Scope Summary

The document explicitly mentions both artificial intelligence and machine learning as the subjects of the educational courses. It does not specify particular types of AI (frontier, general purpose, task-specific) or technical thresholds. The focus is on broad AI/ML education rather than specific technical categories.