AI in Model Risk: Opportunities and PitfallsCeFPro Webinars Presents:Available On Demand For FreeRegister FOR WEBINAR NowENQUIRE REGARDING SPONSORING

Webinar Overview

As financial institutions increasingly integrate machine learning and large language models into risk and decision-making, regulators are demanding clarity, explainability, and robust governance.

This webinar explores the opportunities AI brings to model risk functions: From improved accuracy and automation to innovative validation techniques, while addressing the pitfalls, including bias, opacity, and regulatory uncertainty.

Join us as we explore:

  • Practical use cases of AI and LLMs in risk modeling and validation

  • Navigating regulatory grey areas around AI adoption in model risk

  • Building explainability and transparency into AI-driven models

  • Addressing fairness, bias, and ethical considerations in AI models

  • Governance framework to manage AI risk while supporting speed-to-market

  • The future of model validation in an AI-first environment

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What you will learn from this webinar:

  • ML & LLM’s in FS

    Understand how machine learning and large language models are being applied within financial institutions’ model risk frameworks.

  • Regulatory Developments

    Gain clarity on the regulatory landscape and uncertainty surrounding AI adoption in model risk.

  • Integrating AI Models

    Learn practical strategies to integrate AI-driven models while ensuring explainability, fairness, and transparency.

  • Mitigating Pitfalls

    Recognize common pitfalls, such as bias, data quality issues, and black box opacity and how to mitigate them.

  • Governance and Validation

    Explore best practices in governance and validation to maintain independent challenge and regulatory compliance.

  • An AI-first Future

    Take away actionable insights on preparing risk functions for an AI-first future.

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