ValidMind

Join ValidMind for a practical discussion on E-23 and AI governance, hosted by **David Asermely**, and learn how to meet evolving regulatory expectations with confidence.

### Overview

Regulatory expectations around models and AI systems are evolving quickly. E-23 raises the bar for model risk management, while parallel scrutiny on **AI governance, oversight, and controls** is accelerating across financial institutions.

In this webinar, **David Asermely** will connect the dots between E-23 and AI governance, explaining how institutions can build a unified approach to governance, validation, and documentation across both traditional models and AI-driven systems.

### What You’ll Learn

*   A clear breakdown of E-23 and its implications for model risk management
*   How E-23 intersects with emerging AI governance expectations
*   Key governance, validation, and documentation challenges for AI and ML models
*   Practical steps to align MRM and AI governance frameworks
*   How automation and standardized controls can support compliance at scale

### Who Should Attend

*   Model Risk Management (MRM) teams
*   AI governance and risk leaders
*   Compliance and regulatory affairs professionals
*   Model validators and oversight committees
*   Data science leaders deploying AI in regulated environments

Walk away with a clearer understanding of how E-23 and AI governance fit together and what your institution should be doing now to stay compliant without slowing innovation.

Secure your spot to learn how to navigate E-23 and AI governance with a practical, integrated approach.
