FAA Research and Development Act of 2023, Sec. 210 ("Technology review of artificial intelligence and machine learning technologies")

• 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
• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

This document has minimal coverage of AI risk domains. It primarily addresses operational safety and efficiency concerns in airport operations (subdomain 7.3 - Lack of robustness) through a technology review mandate. There is no substantive coverage of other risk domains as the document focuses on conducting a review rather than establishing governance measures for specific AI risks.

Sector coverage

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

• Trade, Transportation & Utilities

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

• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the Trade, Transportation and Utilities sector, specifically focusing on aviation and airport operations. The mandate for the FAA Administrator to review AI/ML technologies for airport efficiency and safety directly regulates transportation infrastructure and operations.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act from the U.S. Congress with mandatory obligations on the FAA Administrator to conduct a review and submit a report within a specified timeframe.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is a section of the FAA Research and Development Act of 2023, which is enacted by the United States Congress as indicated by the authority field.

Target

• Entity Types: AI_Governance_Actor
• Entities: FAA Administrator; Federal Aviation Administration
• Summary: The Administrator (of the FAA) is the primary target who must conduct the review and submit the report. The document regulates the actions and obligations of this federal agency official.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; appropriate committees of Congress
• Summary: Congress enforces compliance through its oversight function, requiring the Administrator to submit a report to appropriate committees within one year, enabling Congressional monitoring and potential follow-up actions.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: appropriate committees of Congress
• Summary: The appropriate committees of Congress will receive and review the report, thereby monitoring the FAA's implementation of the technology review and its findings.

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 primarily covers the Plan and Design stage by mandating a review of current and planned AI/ML technologies for airport applications. It implicitly touches on Deploy and Operate and Monitor stages through its focus on improving efficiency and safety of AI systems in operational airport contexts.

Technical Scope

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

• AI Models
• AI Systems

Technical Scope Summary

The document explicitly mentions both 'artificial intelligence' and 'machine learning technologies' but does not define them or specify particular types such as frontier AI, general purpose AI, foundation models, or generative AI. No compute thresholds or distinctions between open-weight and closed models are mentioned.