James M. Inhofe National Defense Authorization Act for Fiscal Year 2023, Section 6742 ("Code-free artificial intelligence enablement tools policy")

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: NDAA provisions;U.S. federal laws
• Most recent activity: Enacted
• Most recent activity date: 2022-12-23

Risk subdomain coverage

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal to no coverage of AI risk domains. It is a procedural directive instructing intelligence community leaders to draft a policy promoting code-free AI tools. It does not address specific AI risks, harms, or safety concerns from the MIT taxonomy.

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 directing intelligence community elements to develop policies for code-free AI tools. It does not regulate AI use in commercial or civilian sectors.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding statutory provision enacted by the U.S. Congress as part of the National Defense Authorization Act. It uses mandatory language ('shall') and creates legally enforceable obligations on specified government officials.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: This section is part of the James M. Inhofe National Defense Authorization Act for Fiscal Year 2023, enacted by the United States Congress as the legislative authority.

Target

• Entity Types: AI_Governance_Actor
• Entities: Director of National Intelligence; Director of the Central Intelligence Agency; Director of the National Security Agency; Director of the National Reconnaissance Office; Director of the National Geospatial-Intelligence Agency; Director of the Defense Intelligence Agency; elements of the intelligence community
• Summary: The document explicitly targets the heads of intelligence community elements, requiring them to draft and submit a policy promoting code-free AI tools within their organizations.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: congressional intelligence committees; Subcommittee on Defense of the Committee on Appropriations of the Senate; Subcommittee on Defense of the Committee on Appropriations of the House of Representatives
• Summary: Congressional committees are designated to receive submissions and conduct oversight, serving as the enforcement mechanism through their oversight authority.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: congressional intelligence committees; Subcommittee on Defense of the Committee on Appropriations of the Senate; Subcommittee on Defense of the Committee on Appropriations of the House of Representatives
• Summary: The same congressional committees that enforce also monitor implementation through required submissions including draft policy, feasibility assessments, implementation plans, and resource requirements.

AI Lifecycle Stages

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

• Plan and Design
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document focuses primarily on the planning and design stage by requiring the drafting of a policy framework for code-free AI tools. It also addresses deployment considerations through requirements for implementation plans, timelines, and resource assessments.

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 'code-free artificial intelligence enablement tools' but does not define AI models, AI systems, or specify particular types of AI (frontier, general purpose, task-specific, etc.). No compute thresholds or model weight distribution approaches are mentioned.