NCUA & AI Governance: Building an AI Inventory for Credit Unions to Manage Risks

Artificial intelligence is rapidly becoming embedded in credit union operations, fraud monitoring, member underwriting, AML alert triage, member-service chatbots, marketing automation, instant payment decisioning, and even loan-collections workflows. Yet many credit unions cannot clearly answer the supervisory questions NCUA examiners are starting to ask: where is AI in use, who owns it, how was it validated, and what protects member fairness and data?

This session will walk credit union leaders through a structured approach to building an AI inventory and risk-assessment framework that aligns with NCUA supervisory expectations, model risk management principles, third-party oversight guidance, and the cooperative principles that differentiate credit unions. Drawing directly from the NCUA's own published AI use-case inventory templates, attendees will see how a federal regulator structures the same governance challenge and how to translate that approach into a credit-union-sized, examiner-ready program. You will leave with a practical roadmap, an inventory framework, and supporting templates that transform a simple spreadsheet into an AI governance system.

• Employee training log
• Interactive quiz
• PDF of slides and speaker’s contact info for follow-up questions
• Attendance certificate provided to self-report CE credits