Leadership in Critical and Emerging Technologies Act

Establishes a pilot program to expedite U.S. patent applications for AI and other emerging technologies. Requires the Director of the USPTO to oversee and provide public information on the program, ensuring applications meet certain criteria and consulting with federal agencies as needed.

  • Authority: United States Congress
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: U.S. federal laws
  • Most recent activity: Proposed
  • Most recent activity date: 2025-05-21

Risk subdomain coverage

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

  • Competitive dynamics

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of AI risk domains, with only subdomain 6.4 (Competitive dynamics) receiving substantive coverage. The document primarily focuses on accelerating U.S. patent processing for AI and emerging technologies to maintain competitive advantage, explicitly stating the purpose is 'to encourage innovation by, and the leadership of, the United States.' The foreign entity of concern exclusion tangentially relates to preventing adversarial access but does not substantively address malicious actor risks.

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.

  • Information
  • Scientific Research & Development Services
  • National Security

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs Public Administration activities (USPTO patent examination processes) rather than AI use in specific economic sectors. While it affects AI developers across multiple sectors who file patents, it does not regulate AI development or deployment in those sectors, only the patent application process. The indirect beneficiaries span Information technology, Scientific R&D, and Professional Services sectors where AI innovation occurs.

Legislative Status

Hard Law

Legislative Status Summary

This is Congressional legislation that creates binding legal obligations on the USPTO Director using mandatory language throughout ('shall establish', 'shall ensure', 'shall make publicly available'). It establishes enforceable requirements with specific implementation timelines and reporting obligations to Congress.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The document is a Congressional bill as indicated by the opening text and formal legislative structure. It is proposed legislation to be 'enacted by the Senate and House of Representatives of the United States of America in Congress assembled.'

Target

  • Entity Types: AI_Developer
  • Summary: The target entities are applicants submitting patent applications for AI and emerging technologies. The document explicitly defines 'covered application' and specifies that applicants must not be foreign entities of concern, suggesting the targets are primarily U.S.-based AI developers and researchers seeking patent protection.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: The Director of the USPTO is explicitly designated as the authority responsible for establishing, implementing, and enforcing the pilot program requirements, including setting qualification criteria and processing covered applications.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The USPTO Director is required to monitor program participation and publish statistics, while Congressional Judiciary Committees receive notifications and reports for oversight. The Director must make information publicly available and submit assessment reports to Congress.

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 directly govern specific AI lifecycle stages but rather addresses the patent application process for AI technologies. Patents are typically filed during or after the 'Build and Use Model' stage when inventions have been conceived and developed. The document references various AI capabilities across the lifecycle (training, model architectures, safety) but only in defining what technologies qualify for expedited examination, not in regulating their development or deployment.

Technical Scope

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

  • AI Models
  • Foundation Models
  • AI Systems
  • Generative AI

Technical Scope Summary

The document extensively defines AI technologies in scope including AI models, AI systems, foundation models, and generative AI. It explicitly mentions machine learning, deep learning, reinforcement learning, foundation models, generative artificial intelligence systems, multimodal and large language models. It also references AI safety improvements. The document does not mention compute thresholds, open-weight models, or make distinctions between general purpose and task-specific AI.

https://www.congress.gov/bill/119th-congress/house-bill/3539
https://agora.eto.tech/instrument/2459
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Document data from AGORA, CSET Emerging Technology Observatory.