Riccardo Volpato

Session: Evolving a Model Risk Management Framework to tackle AI challenges:

Regulatory expectations – increasing supervisory focus on model governance and responsible AI practices. Expansion and growing use of models, especially those leveraging AI and Machine Learning techniques. Evolution of model tiering methodologies to capture the specific risks and complexities of AI-driven models. Evolution of model risk assessment methodologies to ensure adequate evaluation of AI/ML model behavior and performance. Definition of an AI risk appetite, establishing clear boundaries for acceptable levels of model uncertainty