Digital Defense Content Provenance Act of 2023

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Defunct
• Most recent activity date: 2025-01-03

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

• False or misleading information
• Disinformation, surveillance, and influence at scale
• Lack of transparency or interpretability

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

• AI system security vulnerabilities
• Pollution of information ecosystem
• Fraud, scams, and targeted manipulation

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 4-5 subdomains, with strong focus on misinformation (3.1, 3.2), malicious actors using AI for disinformation (4.1), and AI system security vulnerabilities (2.2). Coverage is concentrated in misinformation, content authenticity, and security domains related to digital content forgery.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

• National Security

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

• Information
• Scientific Research & Development Services
• Educational Services

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the National Security sector, specifically the Department of Defense and its media operations. It establishes requirements for authentication of digital content within DoD operations to protect against AI-generated forgeries that could compromise military missions and operations.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative act introduced in the U.S. Senate with mandatory language requiring the Secretary of Defense to establish education courses and pilot programs with specific timelines and reporting requirements.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Summary: The bill was introduced by Senator Peters in the U.S. Senate and referred to the Committee on Armed Services, indicating Congress as the proposing authority.

Target

• Entity Types: AI_Governance_Actor
• Summary: The legislation specifically targets the Department of Defense and its media-related entities, requiring them to establish education courses and pilot programs for digital content authentication.

Enforcer

• Entity Types: AI_Governance_Actor
• Summary: The Armed Services Committees receive mandatory reports and provide oversight, while the Secretary of Defense has authority to implement the requirements through the Director of Defense Media Activity.

Monitor

• Entity Types: AI_Governance_Actor
• Summary: The Armed Services Committees monitor implementation through required reports, while the Director of Defense Media Activity is responsible for developing and applying measures of effectiveness for the pilot program.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

• Plan and Design
• Verify and Validate
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily focuses on the Deploy and Operate and Monitor stages of the AI lifecycle, with emphasis on implementing authentication standards for digital content and ongoing verification processes. It also addresses the Verify and Validate stage through assessment of industry standards and pilot program effectiveness.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

• Generative AI

Technical Scope Summary

The document explicitly mentions AI and machine learning techniques in the context of digital content forgery. It does not specifically reference AI models, AI systems, or any particular categories of AI (frontier, general purpose, task-specific, etc.). The focus is on authentication standards for media content rather than AI system development or deployment.