Instructs the Secretary of Defense to evaluate using AI and machine learning for calculating Basic Allowance for Housing (BAH). Requires the study of alternative calculation methods, including AI feasibility, and mandates annual briefings and a final report to Congress.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
This document has minimal risk domain coverage, primarily addressing governance structures (6.5) and competitive dynamics (6.4) through its requirements for study design and entity selection. The document focuses on administrative process for housing allowance calculation rather than AI risk mitigation.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
This document primarily governs Public Administration (excluding National Security) through its regulation of Department of Defense administrative processes for housing allowances. It also has minimal coverage of Professional and Technical Services through requirements for contracting entities with AI/ML expertise.
Hard Law
Legislative Status Summary
This is a section of the National Defense Authorization Act, a binding federal statute enacted by Congress with mandatory obligations on the Secretary of Defense, including specific deadlines, reporting requirements, and procedural mandates.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily covers the Plan and Design stage by mandating a study to evaluate alternative BAH calculation methods including AI/ML feasibility. It also addresses Verify and Validate through requirements to assess adequacy and accuracy of proposed methods.
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 machine learning and artificial intelligence as technologies to be evaluated for feasibility in calculating Basic Allowance for Housing. It does not mention specific AI model types, compute thresholds, or distinguish between different categories of AI systems.
Document data from AGORA, CSET Emerging Technology Observatory.