Requires the U.S. government to assess and address threats from model extraction attacks on closed-source AI models by foreign adversaries. Instructs the Secretary of State and Commerce to identify threats, publish attackers, and consult stakeholders. Allows sanctions and public guidance to deter attacks.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.
All other risk subdomains had no coverage in this document.
Risk Coverage Summary
The document has good coverage of approximately 5 subdomains, with strong focus on AI system security (2.2), malicious actors conducting cyberattacks and fraud (4.2, 4.3), and competitive dynamics (6.4). Coverage is concentrated in security, threat prevention, and protecting US competitiveness against foreign adversaries conducting model extraction attacks.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.
All other sectors had no coverage in this document.
Sectors Summary
The document primarily governs the Information and Scientific Research and Development Services sectors, where AI model developers and owners operate. It also has strong implications for National Security as it addresses foreign adversary threats to US national security interests through AI model theft. The Professional and Technical Services sector is minimally mentioned through consultation requirements.
Hard Law
Legislative Status Summary
This is a binding legislative act from the United States Congress with mandatory obligations, enforcement mechanisms including sanctions and penalties, and specific requirements for government agencies to assess threats, publish lists, and impose sanctions on violators.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
AI Lifecycle Summary
The document primarily addresses the deployment and operation stages of AI systems, focusing on protecting deployed closed-source AI models from unauthorized extraction. It extensively covers operational monitoring for model extraction attacks, access controls during deployment, and the security of models in use. The document does not significantly address earlier lifecycle stages like planning, data collection, or initial model building.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly and extensively discusses AI models, particularly closed-source AI models, as the primary focus. It defines closed-source AI models in detail, focusing on proprietary model weights and architectures. The document does not mention frontier AI, general purpose AI, foundation models, generative AI, predictive AI, or compute thresholds. It does not explicitly distinguish between open-weight and closed-source models but focuses exclusively on closed-source.
Document data from AGORA, CSET Emerging Technology Observatory.