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
Who should Attend
- AI and Model Risk Managers
- Model Validation Specialists
- Risk Management Professionals
- Compliance Officers
- Regulatory Affairs Specialists
- Data Governance Experts
