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As techniques for effective fraud risk management continue to evolve, the potential for bias affecting fraud risk prevention and detection strategies increases. This session will explore the various ways in which bias can introduce itself into your fraud detection and monitoring models and provide strategies for how to combat and reduce that bias proactively – including how to leverage generative artificial intelligence (AI) to combat bias.
You Will Learn How To:
Identify the ways bias can manifest in fraud detection and monitoring models.
Proactively detect bias in your fraud risk management program.
Apply Generative AI when evaluating existing fraud detection and monitoring models for bias.
Group Internet Based
Credit by Field of Study
Revathi Subramanian - Speaker
Global Capability Lead for Fraud AI, Center for Advanced AI
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