Securing Growth and Robust Leadership in American Aviation Act, Sec. 1024 ("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: Enacted
• Most recent activity date: 2024-05-16

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

The document has minimal coverage of risk domains, with only implicit references to AI system safety and governance. The focus is on conducting a review of AI/ML technologies for airport operations rather than addressing specific AI risks or harms. No risk domains receive detailed coverage.

Sector coverage

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

• Trade, Transportation & Utilities
• 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. It also has implications for Public Administration through the FAA's regulatory role in overseeing airport safety and efficiency.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative provision enacted by the United States Congress that creates mandatory obligations for the FAA Administrator to conduct a review and submit a report to Congress within a specified timeframe.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is a section of an Act passed by the United States Congress, which is the legislative body that proposed and enacted this governance measure.

Target

• Entity Types: AI_Governance_Actor
• Entities: Administrator of the Federal Aviation Administration (FAA)
• Summary: The document directly targets the FAA Administrator, who is required to conduct the review and submit the report. The Administrator is the primary entity with obligations under this provision.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress (covered committees of Congress)
• Summary: Congress serves as the enforcement body through its oversight function, requiring the Administrator to submit a report to covered committees within one year, enabling Congressional monitoring of compliance.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: United States Congress (covered committees of Congress); other relevant Federal agencies
• Summary: The covered committees of Congress will monitor compliance through the required report submission. Additionally, other Federal agencies are mentioned as coordination partners in the review process.

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 Plan and Design stage by requiring a review of AI/ML technologies and best practices for airport operations. It implicitly covers Deploy and Operate and Monitor stages through examination of current applications and operational use cases in airport settings.

Technical Scope

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

• Task-specific AI

Technical Scope Summary

The document explicitly mentions both artificial intelligence and machine learning technologies multiple times. It does not reference specific AI categories such as frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on AI/ML applications in airport operations rather than technical AI model classifications.