Securing Growth and Robust Leadership in American Aviation Act, Sec. 1028 ("Air Traffic Control Training")

• 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.

• 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 robustness (7.3) through its focus on evaluating AI technologies for training effectiveness and safety enhancement. No other risk domains are substantively addressed.

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)

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

• Scientific Research & Development Services

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Public Administration sector (specifically the Federal Aviation Administration) and the Trade, Transportation and Utilities sector through its focus on air traffic control training and operations within the national airspace system.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative provision enacted by the United States Congress with mandatory obligations on the FAA Administrator, including required research activities and Congressional reporting within specified timeframes.

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 has legislative authority to create binding obligations on federal agencies.

Target

• Entity Types: AI_Governance_Actor
• Entities: Administrator of the Federal Aviation Administration (FAA); FAA air traffic controllers; labor organizations including the exclusive bargaining representative of air traffic controllers
• Summary: The legislation applies to the FAA Administrator who must conduct research and report to Congress. It also involves air traffic controllers and their labor representatives as stakeholders in the research program.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; covered committees of Congress
• Summary: Congress enforces compliance through its oversight authority, requiring the Administrator to submit a report to covered committees within one year, enabling Congressional monitoring and potential legislative action.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: covered committees of Congress
• Summary: The covered committees of Congress will receive and review the research findings report, providing oversight of the FAA's implementation of the research program.

AI Lifecycle Stages

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

• Plan and Design
• Verify and Validate
• Deploy

AI Lifecycle Summary

The document primarily addresses the Plan and Design stage by mandating research to evaluate AI deployment opportunities in training systems. It also covers Verify and Validate through assessment of benefits and effectiveness, and Deploy through evaluation of technology deployment for training enhancement.

Technical Scope

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

• AI Models

Technical Scope Summary

The document explicitly mentions artificial intelligence and machine learning as technologies to be evaluated for air traffic controller training. It does not define these terms or specify particular AI model types, compute thresholds, or distinguish between general purpose and task-specific AI.