Establishes the Federal Digital Platform Commission to regulate digital platforms, including AI processes, ensuring fairness, transparency, and safety. Provides for the creation of a Code Council to develop voluntary or enforceable policy related to digital platforms and AI processes.
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 10-12 subdomains, with strong focus on malicious actors (4.1, 4.2, 4.3), discrimination and toxicity (1.1, 1.2), privacy compromise (2.1), misinformation (3.1, 3.2), competitive dynamics (6.4), governance failure (6.5), and lack of transparency (7.4). Coverage is concentrated in content harms, platform governance, and algorithmic accountability domains.
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, as it regulates digital platforms including social media, search engines, and online services. It has minimal coverage of other sectors through references to impacts on journalism, small businesses, and government services, but the core regulatory focus is on digital platform companies operating in the information and technology sector.
Hard Law
Legislative Status Summary
This is a binding legislative act proposed by the United States Congress that establishes a Federal regulatory commission with enforcement powers, penalties, and mandatory compliance requirements for digital platforms.
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 Deploy and Operate and Monitor stages of the AI lifecycle, with some coverage of Build and Use Model through requirements for algorithmic processes. It emphasizes post-deployment oversight, transparency, auditing, and risk assessment of AI systems already in operation on digital platforms.
Terms relating to technical scope that are mentioned or implicitly referenced in the document
Technical Scope Summary
The document explicitly mentions AI systems through references to 'algorithmic processes' including those 'derived from machine learning or other artificial intelligence techniques' and specifically mentions 'generative artificial intelligence'. It does not use terms like frontier AI, general purpose AI, foundation models, or compute thresholds, but broadly covers digital platforms that use AI processes.
Document data from AGORA, CSET Emerging Technology Observatory.