Instructs the Secretary of the Department of Homeland Security to submit annually, for a period of 5 years, a report to Congress on the state of digital content forgery technology.
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 primarily addresses risks related to malicious actors (4.1, 4.2, 4.3) and misinformation (3.1, 3.2), with good coverage of digital content forgery technologies used for disinformation, fraud, and manipulation. It also addresses AI system security vulnerabilities (2.2) through countermeasure assessment, and governance failure (6.5) through reporting requirements to ensure oversight keeps pace with technology evolution.
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 specific economic sectors but rather requires the Department of Homeland Security to monitor and report on digital content forgery technology across all sectors. The reporting requirements assess how these technologies are used by foreign governments, non-governmental entities, and to harm various groups, but do not impose sector-specific regulations.
Hard Law
Legislative Status Summary
This is a binding federal statute enacted by the U.S. Congress as part of the National Defense Authorization Act, with mandatory reporting requirements imposed on the Secretary of Homeland Security using legally binding language.
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 govern specific AI lifecycle stages but rather requires monitoring and reporting on digital content forgery technology across all stages. It focuses on assessment and analysis of existing and emerging technologies, their uses, countermeasures, and detection methods, which implicitly covers Build and Use Model, Deploy, and Operate and Monitor stages.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions artificial intelligence and machine learning techniques as the technologies underlying digital content forgery. It focuses on AI systems capable of fabricating or manipulating audio, visual, or text content, which encompasses generative AI capabilities. The document does not mention specific AI model types, compute thresholds, or distinguish between general purpose and task-specific AI.
Document data from AGORA, CSET Emerging Technology Observatory.