What CFPB Consumer Financial Protection Circular 2023-03 - Adverse Action Notices When Using AI and Complex Credit Models requires
CFPB Consumer Financial Protection Circular 2023-03 (19 September 2023) builds on the 2022-03 Circular and clarifies that creditors using AI and other complex algorithmic models in credit decisions cannot satisfy the Equal Credit Opportunity Act and Regulation B adverse action notice requirements by relying on a closed list of generic checkbox reasons that do not reflect the actual factors driving the denial. The Circular specifies that creditors must provide accurate and specific reasons, even when those reasons fall outside the standard checklists referenced in the Regulation B model adverse action notice forms. Examples cited include where AI models consider unconventional factors (consumer spending patterns, social media activity, behavioural data, third-party data), the creditor must disclose those factors specifically rather than substitute a generic checkbox. The Circular reinforces that adverse action specificity is a strict legal requirement that does not bend for model complexity, third-party vendor opacity, or proprietary system claims. Enforcement authority is the CFPB and parallel regulators under ECOA.
Pillar: AI Governance & Law · Authority: Consumer Financial Protection Bureau (CFPB); FTC; OCC; FDIC; Federal Reserve Board; NCUA (prudential banking regulators with parallel ECOA authority); state Attorneys General under ECOA · Version: 1.0.0 · Last updated:
SHA-256 integrity: a666053e3acbce7e990da3f86eff69e021cb056b7c1ed88e04731884c77634a7
Primary Citations — 7 traced to source
- Consumer Financial Protection Bureau (CFPB) Consumer Financial Protection Circular 2023-03 - Adverse Action Notification Requirements and the Proper Use of the CFPB sample forms provided in Regulation B - issued 19 September 2023
- CFPB Circular 2022-03 (26 May 2022) - the foundational interpretive guidance on which Circular 2023-03 builds; both clarify ECOA adverse action specificity for AI/ML credit decisions
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