{
  "node_id": "us-cfpb-circular-2022-03-adverse-action-complex-algorithms",
  "title": "CFPB Consumer Financial Protection Circular 2022-03 - Adverse Action Notification for Credit Decisions Based on Complex Algorithms",
  "domain": "AI Governance & Law",
  "version": "1.0.0",
  "last_updated": "2026-05-14",
  "bluf": "CFPB Consumer Financial Protection Circular 2022-03 (26 May 2022) confirms that creditors using complex algorithms, including artificial intelligence and machine learning models, must comply with the Equal Credit Opportunity Act (ECOA) and its implementing regulation Regulation B (12 CFR 1002) adverse action notice requirements. The Circular states that ECOA and Regulation B require creditors to provide a statement of specific reasons that are the principal reasons for the adverse action; vague references to internal standards, proprietary credit scoring systems, or model complexity are insufficient. Specifically the Circular states: 'a creditor cannot justify noncompliance with ECOA's requirement to provide specific and accurate reasons for adverse actions based on the mere fact that the technology it employs to evaluate applications is too complicated or opaque to understand.' The Circular applies to all creditors subject to ECOA including banks, credit unions, non-bank lenders, and consumer finance companies regardless of the technical complexity of the model used. Enforcement authority rests with the CFPB, FTC, prudential banking regulators, and state attorneys general under ECOA.",
  "paywall": {
    "status": "LOCKED",
    "unlock_cost_usd": "0.01",
    "skyfire_id": "41779894-ece2-4163-9761-b3b1b76e19b0"
  },
  "crosswalks": {
    "_available_keys": [
      "industry_mapping",
      "related_frameworks"
    ],
    "_note": "Full crosswalk values included in vault response"
  },
  "dependencies": [
    "frb-sr-11-7-model-risk-management",
    "us-eo-14110-ai-2023"
  ],
  "primary_citations_count": 7
}