US banking — model risk
SR 26-2 (Apr 2026, supersedes SR 11-7). Model inventory, tiering, independent validation. Supervised ML in scope; GenAI/agentic out of scope; banks over $30B.
Banks, lenders, insurers and broker-dealers must govern AI models under decades-old model-risk and fair-lending regimes — plus the new AI-specific layer. autogovern.io maps the finance rules to your systems, tests fairness and drift, and generates the policies and evidence examiners expect.
Banks (over and under $30B), credit unions & lenders, life/health & property/casualty insurers, broker-dealers & investment advisers, and fintech / model vendors selling into regulated firms.
SR 26-2 (Apr 2026, supersedes SR 11-7). Model inventory, tiering, independent validation. Supervised ML in scope; GenAI/agentic out of scope; banks over $30B.
Treasury/CRI FS AI RMF (Feb 2026, ~230 control objectives) operationalising the NIST AI RMF for finance, crosswalked to SR 26-2.
ECOA / Reg B §1002.9 specific-reason adverse-action notices + FCRA. Keep disparate-impact testing (contested under ECOA; still live under the Fair Housing Act, DOJ and state law).
NAIC AI Systems (AIS) Program; NY DFS Circular 7 and Colorado SB 21-169 require proxy / bias testing in underwriting & pricing.
SEC Rule 15c3-5 pre-trade controls for algorithmic/AI order flow; Advisers Act "AI-washing" enforcement; FINRA Notice 24-09.
AI Act high-risk credit scoring (Annex III 5(b)) & life/health insurance pricing (5(c)) — application ~2 Dec 2027 + mandatory FRIA; DORA (since Jan 2025); GDPR Art. 22.
PRA SS1/23 model risk management; FCA Consumer Duty — assess and avoid foreseeable harm from AI before deployment.
Canada OSFI Guideline E-23 (eff. 2027); Singapore MAS FEAT + AI model-risk paper; Hong Kong HKMA GenAI circular.
Detailed, ready-to-use documents — fill in the bracketed placeholders and adopt them.
A finance model-risk policy for banks, lenders and insurers — model inventory & materiality tiering, the full validation lifecycle (conceptual soundness, outcomes analysis, ongoing monitoring), effective challenge, vendor models and AI/ML-specific controls. Aligned to SR 26-2, OSFI E-23, PRA SS1/23, MAS and the Treasury/CRI FS AI RMF.
A procedure for AI/ML credit decisions — specific-reason adverse-action notices (ECOA/Reg B §1002.9, FCRA), reason-code & counterfactual explanations, and fair-lending / disparate-impact testing with the current jurisdiction caveats. Includes a ready-to-use adverse-action notice template.
A NAIC-aligned AI Systems Program for insurers — governance & accountability, lifecycle risk controls, third-party/vendor management, and testing for unfair discrimination (proxy/bias testing per NY DFS and Colorado). Documentation ready for market-conduct examination.
Educational aid, not legal advice. Finance AI regulation moves quickly — verify current status for your jurisdiction and entity type.