Require U.S. IaaS providers to implement Customer Identification Programs (CIP) for foreign customers to prevent malicious use of AI models. Report AI training activities that could aid harmful cyber operations. Impose penalties for non-compliance or false reporting.
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 6-8 subdomains, with strong focus on malicious actors (4.1, 4.2, 4.3), AI system security (2.2), competitive dynamics (6.4), and AI safety failures (7.2, 7.3). Coverage is concentrated in security, misuse prevention, and governance domains related to preventing malicious use of AI infrastructure.
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 sector, specifically Infrastructure as a Service (IaaS) providers that offer computing infrastructure. It also has implications for National Security through its focus on preventing malicious cyber-enabled activities by foreign actors.
Hard Law
Legislative Status Summary
This is a binding federal regulation issued by the Department of Commerce with explicit enforcement mechanisms, civil and criminal penalties, and mandatory compliance requirements for U.S. IaaS providers.
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 focuses on the Build and Use Model stage (training of large AI models) and the Operate and Monitor stage (ongoing verification and monitoring of IaaS accounts). It does not substantially cover planning, data collection, verification/validation, or deployment stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI models, AI systems, dual-use foundation models, and generative AI. It establishes compute thresholds through reference to interpretive rules and addresses training of large AI models. It does not explicitly mention general purpose AI, task-specific AI, predictive AI, or open-weight models.
Document data from AGORA, CSET Emerging Technology Observatory.