Requires the Administrator of the Office of Electronic Government, in consultation with key defense, intelligence and declassification officials, to research and report on AI and machine learning solutions for efficient classification and declassification.
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 minimal coverage of AI risk domains, with only subdomain 2.2 (AI system security vulnerabilities) receiving a coverage score of 2. The document primarily focuses on government classification/declassification processes and only tangentially mentions AI/ML as a potential technological solution for these processes. It does not substantively address AI risks, harms, or safety concerns.
Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.
All other sectors had no coverage in this document.
Sectors Summary
This document primarily governs Public Administration (federal agencies) and National Security sectors. It does not regulate private sector AI development or deployment, but rather focuses on government classification processes with a brief mention of researching AI/ML solutions for these internal government functions.
Hard Law
Legislative Status Summary
This is a binding legislative act passed by the United States Congress with mandatory requirements, enforcement mechanisms, and specific obligations imposed on federal agencies and officials.
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 does not substantively govern AI development or deployment. It mentions AI/ML only as a potential technological tool to be researched for supporting classification/declassification systems. The primary focus is on government information classification processes, not AI lifecycle stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document mentions AI and machine learning only once, in the context of researching potential technological solutions for classification/declassification systems. It does not define or distinguish between AI models, AI systems, or any specific types of AI. No compute thresholds, model types, or technical AI specifications are mentioned.
Document data from AGORA, CSET Emerging Technology Observatory.