Consolidated Appropriations Act, 2023, Section 101 ("Manufacturing.gov Hub")

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Enacted
• Most recent activity date: 2022-12-29

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 narrow legislative provision focused on establishing an informational website hub for federal manufacturing programs. The only AI-related element is the use of machine learning for FAQ identification and dissemination, which does not substantively address any of the risk domains in the taxonomy.

Sector coverage

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

• Public Administration (excl. National Security)

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

• Agriculture, Mining, Construction & Manufacturing
• Scientific Research & Development Services
• Educational Services

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs Public Administration (excluding National Security) as it directs a federal agency (Department of Commerce) to establish and maintain a government information hub. It also has minimal coverage of the Manufacturing sector as the hub's purpose is to provide information about federal manufacturing programs, though it does not directly regulate manufacturing activities.

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 Commerce, using mandatory language ('shall') and establishing legally enforceable requirements.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: This is a section of the Consolidated Appropriations Act, 2023, which is federal legislation enacted by the United States Congress. Congress is the legislative body that proposed and enacted this provision.

Target

• Entity Types: AI_Governance_Actor
• Entities: Secretary of Commerce; Chief Information Officer of the Department of Commerce; Department of Commerce
• Summary: The document explicitly targets the Secretary of Commerce and the Chief Information Officer of the Department of Commerce, requiring them to establish and maintain the manufacturing.gov hub with specific functions including the use of machine learning.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress (through oversight); Department of Commerce (self-implementation)
• Summary: As federal legislation, enforcement authority rests with Congress through its oversight powers and with the Department of Commerce itself through administrative implementation. No specific enforcement agency is designated in this provision.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Government Accountability Office
• Summary: The document references a GAO report on U.S. Manufacturing, indicating GAO's role in monitoring federal manufacturing programs. Congressional oversight would also serve a monitoring function for implementation of this provision.

AI Lifecycle Stages

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

• Build and Use Model

AI Lifecycle Summary

The document does not substantively address AI lifecycle stages. It mandates the use of machine learning for a specific, narrow function (FAQ identification and dissemination) within a government website, but does not govern the planning, development, validation, deployment, or monitoring of AI systems in any meaningful way.

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 mentions only 'machine learning' in a very limited context - using it to identify FAQs and disseminate answers on a government website. There is no mention of AI models, AI systems, frontier AI, general purpose AI, foundation models, generative AI, or any compute thresholds. The scope is extremely narrow and application-specific.