Platform Accountability and Transparency Act, Section 9 ("Rulemaking authority")

• 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.

• Exposure to toxic content
• Compromise of privacy
• Disinformation, surveillance, and influence at scale
• Governance failure
• 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
• False or misleading information
• Pollution of information ecosystem
• Fraud, scams, and targeted manipulation

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document primarily addresses transparency and accountability mechanisms for platform governance, with strong coverage of governance failure (6.5), lack of transparency (7.4), and content moderation aspects related to toxic content (1.2) and misinformation (3.1, 3.2). It also addresses privacy concerns (2.1) and malicious actor risks (4.1) through disclosure requirements.

Sector coverage

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

• Information

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

• Professional & Technical Services
• Scientific Research & Development Services
• Public Administration (excl. National Security)

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the Information sector, specifically platforms that provide social media, content hosting, and digital communication services. The regulations apply to companies operating online platforms with recommender algorithms, content moderation systems, and advertising services.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative instrument from the United States Congress that grants rulemaking authority to the Commission with mandatory compliance requirements, enforcement mechanisms, and legal obligations on platforms.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is titled as an Act of the United States Congress, establishing it as the proposing legislative body that drafted and enacted this governance instrument.

Target

• Entity Types: AI_Deployer, AI_Infrastructure_Provider
• Entities: platforms (social media and content platforms)
• Summary: The regulations explicitly target 'platforms' throughout the document, requiring them to provide data, maintain repositories, disclose advertising information, report on algorithms, and provide content moderation transparency. These platforms deploy AI systems for content recommendation, ranking, and moderation.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: The Commission (Federal Trade Commission); National Science Foundation (NSF) - consultative role; National Institutes of Health - consultative role
• Summary: The Commission is granted explicit rulemaking authority and enforcement powers throughout the document. The NSF and NIH have consultative roles but the Commission has primary enforcement authority, with reference to section 7 for enforcement provisions.

Monitor

• Entity Types: AI_Governance_Actor, Affected_Stakeholder
• Entities: The Commission (Federal Trade Commission); qualified researchers; the public
• Summary: The Commission monitors compliance through required reporting and disclosures. Qualified researchers are granted access to platform data for independent research and monitoring. The public is enabled to monitor through public repositories and searchable tools for content, advertising, and algorithm information.

AI Lifecycle Stages

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

• Collect and Process Data
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily addresses the Deploy and Operate and Monitor stages of the AI lifecycle, with strong focus on transparency requirements for deployed AI systems (recommender algorithms, content moderation systems) and ongoing monitoring obligations. It does not substantially cover earlier stages like planning, data collection, or model building.

Technical Scope

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

• AI Systems
• Task-specific AI

Technical Scope Summary

The document explicitly addresses AI systems through its focus on 'recommender or ranking algorithms' which are defined to include machine learning and artificial intelligence techniques. It does not use terms like frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on deployed AI systems used by platforms for content recommendation, ranking, and moderation.