Guidance on Application of the Fair Housing Act to the Advertising of Housing, Credit, and Other Real Estate-Related Transactions through Digital Platforms

Prohibits discriminatory use of AI in housing-related ads under the Fair Housing Act. Addresses potential violations via audience targeting, custom audiences, and algorithmic delivery. Recommends advertisers and platforms audit practices, avoid proxies for protected characteristics, and ensure equitable ad delivery.

  • Authority: Department of Housing and Urban Development
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: U.S. regulations, executive orders, and agency policies
  • Most recent activity: Enacted
  • Most recent activity date: 2024-04-29

Risk subdomain coverage

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

  • Unfair discrimination and misrepresentation
  • Unequal performance across groups
  • Fraud, scams, and targeted manipulation
  • Lack of transparency or interpretability

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

  • Compromise of privacy
  • False or misleading information
  • Disinformation, surveillance, and influence at scale
  • Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has good coverage of approximately 6-8 subdomains, with strong focus on unfair discrimination (1.1), unequal performance (1.3), privacy compromise (2.1), false information (3.1), disinformation and surveillance (4.1), fraud and manipulation (4.3), and lack of transparency (7.4). Coverage is concentrated in discrimination, privacy, misinformation, and malicious actor domains.

Sector coverage

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

  • Information
  • Finance & Insurance
  • Real Estate, Rental & Leasing

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

  • Professional & Technical Services

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Information sector (ad platforms and digital advertising systems) and the Real Estate and Rental and Leasing sector (housing advertising, property management, real estate services). It also significantly covers Finance and Insurance (mortgage lending, home insurance) and Professional and Technical Services (real estate agents, mortgage brokers). The guidance applies to AI-powered advertising systems used across these housing-related industries.

Legislative Status

Soft Law

Legislative Status Summary

This is regulatory guidance from HUD's Office of Fair Housing and Equal Opportunity that interprets existing hard law (the Fair Housing Act) and provides recommendations for compliance. While it references binding legal obligations under the Act, the guidance itself uses predominantly voluntary language ('should consider', 'should be alert') and provides recommendations rather than creating new enforceable obligations.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: Department of Housing and Urban Development (HUD); HUD's Office of Fair Housing and Equal Opportunity
  • Summary: The document explicitly identifies itself as guidance from HUD's Office of Fair Housing and Equal Opportunity, a federal regulatory agency responsible for enforcing fair housing laws.

Target

  • Entity Types: AI_Developer, AI_Deployer
  • Entities: advertisers (entities or individuals placing advertisements for housing-related products and services); ad platforms (products or systems used to direct and deliver advertisements); property management companies; real estate agents; mortgage lenders; insurance companies
  • Summary: The document explicitly targets both advertisers and ad platforms that use AI and algorithmic systems for housing-related advertising. These entities develop and deploy AI systems for ad targeting and delivery.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Department of Housing and Urban Development (HUD); Courts
  • Summary: The document references HUD's administrative enforcement authority and court enforcement of the Fair Housing Act, with HUD conducting administrative actions and courts adjudicating violations.

Monitor

  • Entity Types: AI_Governance_Actor, AI_Developer, AI_Deployer
  • Entities: HUD; advertisers (self-monitoring); ad platforms (self-monitoring)
  • Summary: The document assigns monitoring responsibilities to both HUD as the regulatory overseer and to advertisers and ad platforms themselves through recommended auditing and monitoring practices.

AI Lifecycle Stages

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

  • Plan and Design
  • 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 some coverage of Build and Use Model and Verify and Validate stages. It focuses on how AI systems for ad targeting and delivery are deployed in production and how they should be monitored for discriminatory outcomes.

Technical Scope

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

  • AI Models
  • AI Systems
  • Predictive AI

Technical Scope Summary

The document explicitly mentions AI systems and AI models, focusing on machine learning and algorithmic systems used for ad targeting and delivery. It does not use terms like frontier AI, general purpose AI, foundation models, or compute thresholds. The focus is on predictive AI systems rather than generative AI.

https://www.hud.gov/sites/dfiles/FHEO/documents/FHEO_Guidance_on_Advertising_through_Digital_Platforms.pdf
https://agora.eto.tech/instrument/1029
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Document data from AGORA, CSET Emerging Technology Observatory.