Regulation — housing-specific
Fair Housing Act (42 USC 3601) + HUD 24 CFR 100.500 — disparate-impact in AI-driven lending
HUD's 2023 reinstatement of the disparate-impact rule made mortgage-underwriting AI a live enforcement surface for HUD and DOJ. If your AI produces different lane-routing outcomes for protected classes — even without discriminatory intent — this rule is the one that governs the exposure.
What the regulation actually says
"It shall be unlawful … to discriminate against any person in the terms, conditions, or privileges of sale or rental of a dwelling, or in the provision of services or facilities in connection therewith, because of race, color, religion, sex, familial status, or national origin."
42 U.S.C. §3604(b) — the underlying statute
"Liability may be established under the Fair Housing Act based on a practice's discriminatory effect … even if the practice was not motivated by a discriminatory intent."
24 CFR 100.500(a) — the operational language for disparate-impact (2023 reinstatement)
What this means in plain English
Two obligations for any lender running AI underwriting:
- Effects matter, not intent. A lender does not have to intend to discriminate. If the AI's outputs land unevenly on a protected class, the practice is challengeable.
- Business justification must be documented. A challenged practice can be defended, but the lender carries the burden of showing the practice serves a substantial, legitimate, non-discriminatory interest and no less-discriminatory alternative was available.
The rule does not require the AI to be perfect. It requires the operator to be able to show reasonable efforts to detect and act on the class of failure the Snapshot surfaces: silent group-differential lane routing.
What triggers the exposure in the sample
Group H3 (age 30-50, near-prime credit, majority-minority zip) decline / non-QM lane rate rose from 14% to 61%. Majority-minority zip is a well-established proxy for race under HUD disparate-impact analysis. A 47-percentage-point group-differential in the wrong direction that ran silently is precisely the pattern HUD, DOJ, and state AGs open investigations on.
The finding does not depend on intent. Discriminatory effect is the standard. Once the lender knows the pattern exists, the clock starts on documenting a defensible business justification — or remediating.
What the $499 Snapshot shows against this rule
- Per-applicant-group distributional-shape analysis — the "identify" obligation
- Dated threshold + measured differential + severity classification — the "reasonable efforts" audit trail
- 3 fix-first items scoped to that AI surface — the "less-discriminatory alternative" starting point
- Independent-verifier signature — stance that survives the HUD / DOJ question "was your assessment independent"
See the lane-shift chart that produces the finding →
$499 Snapshot. 3 business days.
Independent-verifier determination scoped to your lender's AI surface + 3 fix-first items + signed declaration.
Buy $499
Snapshot credit applies to Baseline ($2,500) or Enterprise Attestation ($35-55K) upgrade within 30 days.