Recently, the NCUA published a list of resources aimed toward guiding credit unions implementing AI or partnering with AI third-party vendors. The publication noted that while AI presented significant opportunities for improving efficiency and member experience, it also introduced risks that credit unions needed to navigate carefully.

The resources addressed key areas such as AI implementation and scalability, risk management, data security, use cases, and fraud risks. The NCUA highlighted the following resources:

• The U.S. Department of Commerce’s National Institute of Standards and Technology (NIST) published its collection of resources for credit unions.
• The Committee of Sponsoring Organizations of the Treadway Commission and its research paper outlining a structured framework for understanding and managing AI-related risks.
• The U.S. Department of Homeland Security’s Cybersecurity and Infrastructure Security Agency and its document on comprehensive security methods for deploying and operating AI systems developed by external companies.
• The Treasury and its report on both traditional and generative AI technologies in financial services, focusing on data privacy, security standards, bias, explainability, consumer protection, concentration risks, and third-party vendor management.
• FinCEN and its report on fraud schemes involving deepfake media, which offers guidance on identifying and responding to AI-enabled fraudulent activities targeting financial institutions.