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US CFPB - Adverse Action Notification Requirements for AI Credit Decisions (ECOA/FCRA Guidance 2022)

The US Consumer Financial Protection Bureau (CFPB) published guidance in May 2022 clarifying that the adverse action notification requirements under the…

What US CFPB - Adverse Action Notification Requirements for AI Credit Decisions (ECOA/FCRA Guidance 2022) requires

The US Consumer Financial Protection Bureau (CFPB) published guidance in May 2022 clarifying that the adverse action notification requirements under the Equal Credit Opportunity Act (ECOA) and Regulation B apply to credit decisions made using artificial intelligence and complex algorithmic models; key CFPB positions: (1) specificity requirement - ECOA Regulation B (12 CFR Part 1002) requires creditors to state the specific reasons for an adverse credit action (denial, termination, or unfavourable change of credit terms); the CFPB confirmed that creditors using complex AI models cannot satisfy this requirement by providing generic or approximate reasons - the reasons must accurately reflect the specific factors the AI model used to reach the decision for that specific applicant; (2) 'black box' excuse rejected - the CFPB rejected the argument that AI model complexity excuses creditors from providing specific, accurate adverse action reasons; creditors must be able to explain AI credit decisions in terms that meet Regulation B's specificity requirement; (3) sample reason codes insufficient alone - using CFPB sample adverse action reason codes (12 CFR Part 1002 Appendix C) may be insufficient if the specific AI model uses factors not captured by the sample codes; (4) FCRA adverse action requirement - where a credit decision is based wholly or partly on a consumer report, FCRA also requires adverse action notices identifying the consumer reporting agency; when AI models incorporate consumer report data, both ECOA and FCRA requirements apply; (5) disparate impact - AI credit models that result in disparate impact on a prohibited basis (race, color, religion, national origin, sex, marital status, age, receipt of public assistance income) violate ECOA's anti-discrimination provisions; model validation must include disparate impact testing.

Pillar: AI Governance & Law · Authority: US Consumer Financial Protection Bureau (CFPB) · Version: 1.0.0 · Last updated:

Primary source: https://www.consumerfinance.gov

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