Session abstract
What you’ll learn
As AI adoption accelerates in financial services, developers building these tools rarely see what happens on the other side, where risk and compliance teams evaluate, monitor, and govern every model before it reaches production. This talk breaks down AI governance from the perspective of someone working in operational risk management at a major bank. The talk will cover how models are validated before deployment, what monitoring for drift and bias looks like, how three lines of defense apply to AI, and what risk assessments for AI use cases actually involve. The plan is for this to be a technical breakdown of the frameworks and controls that govern AI in one of the most regulated industries in the world