The 26 edition Model Risk provides professionals with key insights and strategies for enhancing AI models, reducing risks, and improving model inventory management while ensuring regulatory compliance.
Topics
Impact of Gen AI on model development, explainability, and validation
Strategies for regulatory compliance with SR11-7 and future standards
Improving model inventory governance through cross-functional documentation and ownership
Expanding Model Risk Management (MRM) to cover EUCs, complex algorithms, and LLMs
Responsible AI management balancing innovation with risk and governance
Addressing classification challenges in model inventory between models and non-models
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