Sources & references

Where our claims come from.

Everything the Institute cites — regulations, standards, government reports, and every statistic on the site — lives here with a link to the original source. Where our copy mentions a specific framework or figure, it links back to this page instead of restating the citation.
Regulatory alignment

Supervisory & regulatory frameworks

The published guidance the curriculum maps to. These are public references for bank and credit-union review — the Institute is not a regulator and does not certify compliance.
  • SR 11-7

    Supervisory Letter 11-7 — Guidance on Model Risk Management

    Federal Reserve & OCC

    View source ↗
  • Interagency TPRM Guidance

    Interagency Guidance on Third-Party Relationships: Risk Management (88 FR 37920)

    OCC, Federal Reserve, FDIC

    View source ↗
  • ECOA / Regulation B

    Equal Credit Opportunity Act and its implementing regulation

    CFPB

    View source ↗
  • AIEOG AI Lexicon

    AI Executive Oversight Group — AI Lexicon

    Treasury / FBIIC / FSSCC

    View source ↗
Standards & reports

Standards, frameworks & government reports

Additional sources cited in the Institute's educational articles, templates, and security guidance.
  • NIST AI RMF 1.0

    AI Risk Management Framework (AI RMF 1.0, NIST AI 100-1)

    National Institute of Standards and TechnologyThe Govern / Map / Measure / Manage structure behind the Institute's governance templates.

    View source ↗
  • OWASP LLM Top 10

    OWASP Top 10 for Large Language Model Applications

    OWASP GenAI Security ProjectThe named LLM risk categories (prompt injection, data leakage) used in the security and data-handling guidance.

    View source ↗
  • GAO-25-107197

    Artificial Intelligence: Use and Oversight in Financial Services (May 2025)

    U.S. Government Accountability OfficeThe basis for the statement that there is no comprehensive AI-specific banking regulation yet.

    View source ↗
  • GLBA Safeguards Rule

    Gramm-Leach-Bliley Act, Safeguards Rule (16 CFR Part 314) and Regulation P

    FTC / CFPBThe information-security and privacy baseline referenced in data-handling and policy templates.

    View source ↗
  • FinCEN BSA / AML

    Bank Secrecy Act / Anti-Money Laundering program and SAR requirements

    Financial Crimes Enforcement NetworkThe reporting-threshold and SAR context used in the AI failure-mode examples.

    View source ↗
  • CDFI Fund

    Community Development Financial Institutions Fund

    U.S. Department of the TreasuryContext for mission-driven community lenders referenced in institution materials.

    View source ↗
Data

Statistics & research

Every figure shown on the public site, with its publication, publisher, and year. Some industry research is licensed and links to the publisher rather than a free document.
  • 66% — of community banks are discussing AI in their budget

    2024 Technology Survey

    Bank Director (via Jack Henry & Associates), 2025

    Proprietary / licensed source — citation provided above.

  • 57% — of financial institutions struggle with AI skill gaps

    Gartner Peer Community

    Gartner (via Jack Henry & Associates), 2025

    Proprietary / licensed source — citation provided above.

  • 55% — of financial institutions have no AI governance framework yet

    Gartner Peer Community

    Gartner (via Jack Henry & Associates), 2025

    Proprietary / licensed source — citation provided above.

  • 48% — of financial institutions lack clarity on AI business impacts

    Gartner Peer Community

    Gartner (via Jack Henry & Associates), 2025

    Proprietary / licensed source — citation provided above.

  • ~65% — is the community-bank median efficiency ratio (vs. ~55.7% industry-wide)

    Quarterly Banking Profile, Q4 2024

    FDIC, 2024

    View source ↗
  • 84% — would switch financial institutions for AI-driven financial insights

    Personetics 2025 study

    Personetics (via Apiture), 2025

    Proprietary / licensed source — citation provided above.

  • 62% — are open to AI-powered fee alerts

    2025 consumer survey

    Personetics (via Apiture), 2025

    Proprietary / licensed source — citation provided above.

  • 76% — would switch financial institutions for a better digital experience

    consumer banking study

    The Motley Fool (via Apiture), 2024

    Proprietary / licensed source — citation provided above.

  • ~8,400 — FDIC-insured community banks and credit unions in the United States

    BankFind Suite

    FDIC, 2024

    View source ↗
How to read this

Public references, not a compliance opinion.

Citations were last reviewed on June 25, 2026. Regulations and guidance change; always confirm the current text with the issuing agency. The Institute aligns its curriculum to these sources as a teaching aid — it does not provide legal, regulatory, or compliance advice, and nothing here certifies your institution.
The AI Banking Institute

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Sources & references — The AI Banking Institute — The AI Banking Institute