Circular 2022-03, issued May 26, 2022 and published at 87 FR 35864, answered 'yes' to whether creditors using complex algorithms must still give ECOA's statement of specific reasons for adverse action. It stated that the notice requirements 'apply equally to all credit decisions, regardless of the technology used', and that ECOA and Regulation B 'do not permit creditors to use complex algorithms when doing so means they cannot provide the specific and accurate reasons for adverse actions'. The circular was withdrawn on May 12, 2025, but the statutory duty it interpreted is unchanged.
| Document | CFPB Circular 2022-03 — Adverse action notification requirements in connection with credit decisions based on complex algorithms |
| Issued by | Consumer Financial Protection Bureau |
| Type | Circular |
| Status | Withdrawn |
| Published | May 26, 2022 |
| Effective | May 26, 2022 |
| Applies to | All creditors subject to ECOA and Regulation B, including banks, credit unions and fintech lenders using algorithmic or machine-learning credit models |
| Superseded by | CFPB withdrawal of 67 guidance documents (May 2025) |
| Official source | consumerfinance.gov ↗ |
| Use cases | Credit scoring & underwriting · Fair lending & discrimination · Model risk management |
What are the key points of CFPB Circular 2022-03?
- Question presented: must creditors using 'uninterpretable' or 'black-box' models comply with ECOA's specific-reasons requirement? Response: yes.
- Cites Regulation B 1002.9(b)(2): reasons must be specific and indicate the principal reasons; internal standards or failing a scoring cutoff are insufficient.
- Cites the Official Interpretation: disclosed reasons must relate to and accurately describe factors actually considered or scored; checking the closest sample-form reason does not comply.
- States that a creditor's lack of understanding of its own model is no defense and that creditors must be able to explain adverse decisions.
- Announced together with a May 26, 2022 press release, 'CFPB Acts to Protect the Public from Black-Box Credit Models Using Complex Algorithms'.
- Listed on the CFPB Withdrawn Guidance page as withdrawn May 12, 2025 (90 FR 20084).
What did CFPB Circular 2022-03 change for banks?
The circular converted a permissive 2020 posture into an enforcement warning: model opacity became a compliance risk in itself, effectively requiring explainability tooling around any ML underwriting model. Its 2025 withdrawal removed the Bureau's interpretive statement but not the statute, so most banks have kept the controls it prompted.
Was Circular 2022-03 withdrawn?
Yes, effective May 12, 2025, in the CFPB's withdrawal of 67 guidance documents. The ECOA and Regulation B requirements it described remain in force.
Did Circular 2022-03 ban black-box models?
No. It said creditors may not use models that leave them unable to identify specific and accurate adverse-action reasons; a complex model with reliable reason-code extraction was acceptable.
| Date | Document | Status |
|---|---|---|
| May 12, 2025 | CFPB withdrawal of 67 guidance documents (May 2025) — Interpretive Rules, Policy Statements, and Advisory Opinions; Withdrawal | In force |
| Apr 22, 2026 | Regulation B final rule on disparate impact (April 2026) — Equal Credit Opportunity Act (Regulation B) — final rule amending disparate impact, discouragement and special purpose credit program provisions | In force |
| Aug 12, 2024 | CFPB comment to Treasury on AI in financial services (2024) — CFPB Comment on Request for Information on Uses, Opportunities, and Risks of Artificial Intelligence in the Financial Services Sector | Final |
| Sep 19, 2023 | CFPB Circular 2023-03 — Adverse action notification requirements and the proper use of the CFPB's sample forms provided in Regulation B | Withdrawn |
| Jun 6, 2023 | CFPB Chatbots in Consumer Finance (issue spotlight, 2023) — Chatbots in consumer finance | Final |
| Apr 25, 2023 | Joint Statement on Automated Systems (CFPB, DOJ, EEOC, FTC) — Joint Statement on Enforcement Efforts Against Discrimination and Bias in Automated Systems | Final |
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