Webinar | December 3, 2024

Explainable AI

Don’t miss this chance to unlock the power of Explainable AI (XAI)! In this comprehensive webinar, we’ll dive into the latest methods for applying XAI techniques to enhance the transparency and interpretability of your Machine-Learning-based risk models, ensuring better decision-making and adherence to regulatory expectations. With the growing focus on traceability of model outcomes and decision-making process and transparency in financial services, it’s crucial to be aware of the most advanced techniques in explainable AI, especially when managing complex Machine Learning models.

What to expect:

In this webinar, you’ll gain a comprehensive understanding of Explainable AI and its applications in Machine Learning models for risk management. Here’s a glimpse of what we’ll cover:

  • Overview of Cutting-Edge XAI Techniques: Explore how XAI improves model transparency and interpretability of Machine Learning models.
  • Regulatory Insights: Learn about regulatory expectations for model governance and how XAI can support compliance of your Machine Learning models.
  • Key Benefits and Challenges: Understand the advantages and obstacles XAI presents for financial institutions in risk management and decision-making
  • Practical Example: See a demonstration of how to apply XAI on a credit risk example and interpret results to drive meaningful business insights.

Why Participate:

Join this webinar to unlock the potential of Explainable AI in enhancing transparency and decision-making in risk management for Machine Learning models. Here’s what you’ll gain:

  • Actionable Knowledge: Practical insights for risk management professionals, data scientists, and compliance experts to integrate XAI into existing workflows in various phases of the model lifecycle.
  • Meet Regulatory Demands: Understand how XAI can help meet evolving regulatory requirements, optimize model governance, and risk assessment processes.
  • Stay Ahead of the Curve: Equip your organization with tools for greater transparency, smarter decision-making, and a more robust risk management strategy.