Model Risk Management in the Age of AI

Explore the critical aspects of model risk management in the era of artificial intelligence through this insightful 30-minute conference talk presented by Rohan Khade, an ML and Data Mining Researcher and Practitioner at Datatron, as part of the Toronto Machine Learning Series (TMLS). Delve into the key factors driving model risk, including increased complexity, regulatory compliance, and adverse business impact. Gain valuable insights on how Datatron addresses model risk management challenges in the context of AI-driven systems. Learn about effective strategies and best practices for mitigating risks associated with complex AI models, ensuring regulatory compliance, and minimizing potential negative impacts on business operations.