Preventing the Algorithmic Facilitation of Rental Housing Cartels Act of 2024

• 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.

• Competitive dynamics

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

• AI system security vulnerabilities
• Lack of transparency or interpretability

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document primarily addresses competitive dynamics (6.4) with detailed coverage of AI-facilitated anti-competitive behavior in rental housing markets. It has minimal coverage of AI system security vulnerabilities (2.2) and lack of transparency (7.4) through implicit references to algorithmic pricing systems. The focus is narrowly on economic competition risks rather than broader AI safety or societal risks.

Sector coverage

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

• Information
• Real Estate, Rental & Leasing
• Professional & Technical Services

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Real Estate and Rental and Leasing sector with comprehensive coverage of AI use in rental property management. It also governs the Information sector (software/data analytics providers) and Professional and Technical Services sector (data analytics services) with good coverage of their role in providing algorithmic pricing coordination services.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding federal statute with explicit enforcement mechanisms, mandatory prohibitions, and civil and criminal penalties for violations.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is titled as an 'Act' and begins with 'SECTION 1. SHORT TITLE. This Act may be cited as...' indicating it is proposed legislation from the United States Congress.

Target

• Entity Types: AI_Developer, AI_Deployer
• Entities: rental property owners; coordinators (software or data analytics service providers)
• Summary: The Act explicitly targets two categories: (1) 'coordinators' who operate software/data analytics services performing algorithmic pricing functions, and (2) 'rental property owners' who use these services. Coordinators are AI developers/deployers, while rental property owners are AI deployers/users.

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: Federal Trade Commission (FTC); Attorney General; State Attorneys General
• Summary: The Act explicitly designates three enforcement authorities: the Federal Trade Commission, the U.S. Attorney General, and State Attorneys General, each with specific enforcement powers and procedures.

Monitor

• Entity Types: AI_Governance_Actor, Affected_Stakeholder
• Entities: Federal Trade Commission; injured persons/plaintiffs
• Summary: The FTC has monitoring authority through its enforcement powers. Additionally, the Act creates a private right of action allowing injured persons to bring civil suits, effectively creating a distributed monitoring mechanism through affected stakeholders.

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
• Deploy
• Operate and Monitor

AI Lifecycle Summary

The document primarily governs the deployment and operation stages of AI systems used for rental pricing coordination. It focuses on the use of algorithmic systems in production environments rather than their development, with implicit coverage of data collection processes.

Technical Scope

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

• AI Models
• AI Systems
• Predictive AI
• Task-specific AI

Technical Scope Summary

The document explicitly mentions AI systems in the form of algorithmic pricing coordination software and data analytics services. It references algorithms trained on data but does not mention frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on task-specific predictive AI systems used for rental pricing.