The widespread usage of artificial intelligence (AI) in committing fraud is being countered by financial institutions' growing reliance on AI and advanced analytics for fraud detection, mitigation and prevention. Increasingly, executives are turning to machine-learning models and behavioral biometrics for real-time detection of fraud. The tough balancing act they face: How to balance speed, accuracy and customer experience with sophisticated guardrails to prevent fraud before it happens. The roundtable discussion will focus on the usage of AI to commit and prevent fraud, strategies being employed to identify fraud patterns and stop them before they occur, and how to model governance, transparency and regulatory expectations for the usage of AI in fraud prevention.
