Requires the Secretary of Commerce to conduct an AI awareness and education campaign. Involves evaluating effectiveness with key performance indicators, promoting best practices, and targeting vulnerable populations against AI-enabled fraud. Mandates reporting to Congress within one year.
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 risk domains, with primary focus on malicious actors (4.3 - fraud and scams) through targeted outreach to vulnerable populations. There is implicit minimal coverage of misinformation (3.1) through deepfake detection education, and human-computer interaction (5.1) through general AI awareness. The document is primarily educational rather than risk-mitigating, focusing on public awareness rather than direct governance of AI risks.
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
This document does not govern AI use in specific economic sectors. Instead, it mandates a federal public awareness campaign about AI that will discuss AI applications across multiple sectors (including productivity tools, commercial applications, and fraud detection). The governed entity is the federal government itself (Public Administration), which must conduct the education campaign.
Hard Law
Legislative Status Summary
This is a binding legislative act from the United States Congress with mandatory obligations imposed on the Secretary of Commerce, including specific timelines for implementation and reporting requirements to Congress.
Proposer
Target
Enforcer
Monitor
Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems
No lifecycle stages identified.
AI Lifecycle Summary
The document does not govern specific AI lifecycle stages for AI development or deployment. Instead, it mandates a public education campaign about AI that discusses AI applications across various lifecycle stages (particularly deployment and operation) but does not regulate those stages themselves. The focus is on public awareness rather than technical governance.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions 'artificial intelligence' broadly and references various AI applications (deepfakes, chatbots, automated decision-making) but does not define or distinguish between AI models, AI systems, or specific categories like frontier AI, GPAI, or foundation models. It focuses on AI applications in general without technical categorization.
Document data from AGORA, CSET Emerging Technology Observatory.