layout: default title: Fair Housing Compliance nav_order: 3 description: "How Access to Housing ensures compliance with the Fair Housing Act across all modules."
Fair Housing Compliance Framework
This document describes how Access to Housing ensures compliance with the Fair Housing Act (42 U.S.C. §§ 3601–3619) across all modules and analytical outputs.
Guiding Principle
All analysis in this platform is based exclusively on objective infrastructure, supply/demand, and environmental metrics. No module scores, ranks, recommends, or filters based on race, color, national origin, religion, sex, familial status, disability, or any characteristic that serves as a proxy for these protected classes.
Pre-Delivery Compliance Checklist
Before delivering any analysis, verify:
- [ ] No analysis based on race, color, national origin, religion, sex, familial status, or disability
- [ ] No proxy metrics that effectively score on protected characteristics
- [ ] School quality scored only on proximity and access, not test scores framed demographically
- [ ] Crime data expressed as rates normalized for density, not raw counts by area
- [ ] Neighborhood comparison uses objective infrastructure metrics only
- [ ] Investment thesis based on supply/demand fundamentals, not population composition
Redirect Protocol
If a user request would violate Fair Housing, respond with:
> "That analysis would implicate Fair Housing law by [specific reason]. Here's a legally safe alternative approach using objective metrics: [redirect to infrastructure/supply/demand metrics]."
Module-Specific Safeguards
Neighborhood Livability Score (Module 4)
- Scores ONLY on transit access, parks/amenities, safety indicators (rate-normalized), and education access (proximity-based)
- Never includes demographic composition as a factor
- Religious institution density is excluded as a scoring factor
- School district scoring uses enrollment capacity and distance — never test scores framed in demographic terms
Satellite Housing Detection (Module 1)
- Geography-based analysis only
- Construction pattern analysis does not implicate Fair Housing unless correlated with protected class characteristics — such requests are redirected
Climate Migration Model (Module 6)
- Migration flow analysis uses IRS SOI, Census ACS, and mover data — aggregate economic and environmental signals
- Never frames migration in terms of demographic group movement
Community Trust & Transparency Pod
- Community-Reported Conditions: Complaint rates normalized per 1,000 housing units — never raw counts by area. No demographic overlays on service request data
- Displacement Early Warning: Uses economic indicators only (rent burden, eviction rates, investor purchase share). Never analyzes who is being displaced by demographic group — only whether displacement pressure exists based on housing market metrics
- Government Accountability Scorecard: Measures government responsiveness using objective metrics (response times, resolution rates). Equity analysis compares service quality across areas without identifying resident demographics
- Civic Transparency Tracker: Analyzes government decisions on land use and zoning. Beneficiary analysis focuses on economic impact (existing residents vs. outside capital), not demographic composition
Applicable Law
- Federal: Fair Housing Act (42 U.S.C. §§ 3601–3619)
- HUD Guidance: Guidance on Application of Fair Housing Act Standards to the Use of Criminal Records
- State: Analyses should also account for state-level fair housing protections, which may be broader than federal law
Reporting Issues
If you identify a Fair Housing compliance concern in any module or output template, please open an issue or contact dougdevitre@gmail.com.
> Disclaimer: This framework provides analytical guardrails for an AI-powered research tool. It is not legal advice. Consult a licensed attorney for Fair Housing compliance guidance specific to your situation.
Nonpartisan informational resource for Missouri — District 2 — not legal, medical, or financial advice. Source: dougdevitre/access-to-housing.
Paid for by Matt Grant for Congress.
