Operationalizing E-23 Without Slowing AI

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.