Drone Safety and Efficiency Act

Requires the Administrator of the Federal Aviation Administration to adopt a performance and risk-based approach when reviewing requests for small unmanned aircraft systems (sUAS) to be waived from existing regulations.

  • 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

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 administrative process improvements for drone waiver applications, with limited mention of using machine learning and big data analytics as tools. The document does not substantively address AI-specific risks, harms, or governance challenges.

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 through regulation of unmanned aircraft systems (drones) operations. It also has implications for Public Administration as it directs FAA regulatory processes.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act from the United States Congress that imposes mandatory obligations on the FAA Administrator using directive language throughout.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The document is a Congressional bill enacted by the Senate and House of Representatives, as indicated in the opening clause.

Target

  • Entity Types: AI_Governance_Actor
  • Summary: The document directs the FAA Administrator to adopt specific approaches and processes. It also applies to entities requesting certificates of waiver under 14 CFR part 107.200, which are operators of small unmanned aircraft systems.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: The FAA Administrator is given the authority to implement the performance and risk-based approach, review waiver applications, and establish processes for approval, modification, and renewal of waivers.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The FAA Administrator is responsible for publishing all certificates of waiver and maintaining transparency about approved waivers, which constitutes a monitoring and oversight function.

AI Lifecycle Stages

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

  • Collect and Process Data
  • Build and Use Model
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document primarily addresses the Deploy and Operate and Monitor stages of the AI lifecycle, as it focuses on using machine learning and big data analytics within an operational waiver review process. There is minimal coverage of the Build and Use Model stage through the mention of leveraging these technologies.

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 briefly mentions machine learning and big data analytics as tools to be used in the waiver review process. It does not define AI models or systems, nor does it mention frontier AI, general purpose AI, foundation models, generative AI, predictive AI, open-weight models, or compute thresholds.

https://www.congress.gov/bill/118th-congress/house-bill/3983
https://agora.eto.tech/instrument/323
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Document data from AGORA, CSET Emerging Technology Observatory.