Artificial intelligence (AI) is moving faster than any other technology banks have seen before. From fraud detection to lending platforms, AI is being embedded in nearly every vendor solution. For community banks and credit unions, this acceleration brings both opportunity and risk. This present risk and compliance teams with new demands from the board and regulators for stronger oversight.

In this episode of the Banking on Data podcast, host Ed Vincent continues the conversation with compliance expert, Beth Nilles, who helps ‍unpack how financial institutions can take a program risk assessment approach to AI. This builds on a previous episode, How Community Financial Institutions Can Build a Responsible AI Approach, where Beth outlined guardrails and governance for adopting AI responsibly. In Part 2, she explains why program risk assessments are critical, what they look like in practice, and how often institutions should conduct them.

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