Preventing Algorithmic Collusion Act of 2024

Prohibits using pricing algorithms trained with nonpublic competitor data. Requires detailed reporting and certification of pricing algorithms used in commerce. Mandates transparency in algorithmic pricing for entities with over $5 million revenue. Establishes penalties for violations. Directs FTC to study pricing algorithms' impact.

  • 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.

  • Compromise of privacy
  • Competitive dynamics
  • Governance failure
  • Lack of transparency or interpretability
  • Multi-agent risks

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

  • Unequal performance across groups
  • AI system security vulnerabilities
  • Loss of human agency and autonomy
  • Increased inequality and decline in employment

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document primarily addresses competitive dynamics (6.4) with comprehensive governance measures to prevent algorithmic collusion and price fixing. It has good coverage of governance structures (6.5) through enforcement mechanisms, and addresses privacy concerns (2.1) regarding nonpublic competitor data. The document also touches on unequal performance (1.3) through price discrimination provisions and system security (2.2) through algorithm transparency requirements.

Sector coverage

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

  • Trade, Transportation & Utilities
  • Information
  • Finance & Insurance
  • Professional & Technical Services

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

  • Agriculture, Mining, Construction & Manufacturing
  • Real Estate, Rental & Leasing
  • Scientific Research & Development Services
  • Management, Administrative & Support Services
  • Educational Services
  • Health Care & Social Assistance
  • Arts, Entertainment & Recreation
  • Accommodation, Food & Other Services

All other sectors had no coverage in this document.

Sectors Summary

This Act applies broadly across all commercial sectors where pricing algorithms are used, with particular relevance to Trade, Transportation and Utilities; Information; Finance and Insurance; and Professional and Technical Services. The Act does not limit itself to specific industries but regulates any person using pricing algorithms in interstate or foreign commerce.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute enacted by the United States Congress with explicit enforcement mechanisms, civil penalties, and mandatory compliance obligations. The Act establishes unlawful conduct, creates presumptions for antitrust violations, and grants enforcement authority to the Attorney General and Federal Trade Commission.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Summary: The document is titled 'Preventing Algorithmic Collusion Act of 2024' and is structured as federal legislation proposed by Congress, as indicated by the section numbering and legislative format.

Target

  • Entity Types: AI_Developer, AI_Deployer
  • Summary: The Act explicitly targets any person using or distributing pricing algorithms, with specific obligations for entities with over $5 million in revenue. It applies to both developers/distributors and users of pricing algorithms.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Summary: The Act explicitly grants enforcement authority to the FTC and Attorney General, including the power to request reports, bring civil actions, and impose penalties.

Monitor

  • Entity Types: AI_Governance_Actor
  • Summary: The FTC is mandated to conduct a study on pricing algorithms within 2 years and publish results. NIST may provide technical assistance in analyzing reports. The FTC and Attorney General have ongoing monitoring authority through report requests.

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
  • Build and Use Model
  • Verify and Validate
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document primarily addresses the Deploy and Operate and Monitor stages of the AI lifecycle, with significant coverage of Build and Use Model through requirements for algorithm training data and processes. It also touches on Verify and Validate through reporting requirements on algorithm functionality.

Technical Scope

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

  • Predictive AI
  • Task-specific AI

Technical Scope Summary

The document explicitly defines and regulates 'pricing algorithms' as computational processes including those derived from machine learning or other artificial intelligence techniques. It does not distinguish between different types of AI (frontier, general purpose, task-specific, etc.) but applies broadly to any AI-based pricing algorithm. No compute thresholds or open-weight model distinctions are mentioned.

https://www.congress.gov/bill/118th-congress/senate-bill/3686
https://agora.eto.tech/instrument/415
Explore in the Document View

Document data from AGORA, CSET Emerging Technology Observatory.