Model Risk Meets AI

Bridging Gaps in Governance

Location: Webinar
Start date:

7/17/2025 12:00 PM Eastern

End date:

7/17/2025 1:00 PM Eastern

Services: Consulting
Industries: Financial Services, Banking, Fintech

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Event details


Model Risk Meets AI: Bridging Gaps in Governance

As AI and machine learning (ML) become increasingly integrated into high-impact decision-making, the risk governance landscape is shifting. Traditional model risk management (MRM) frameworks, designed for conventional statistical models, now face new challenges presented by AI models – challenges such as complexity, limited transparency, and rapid change.

Join Crowe specialists as we explore how foundational MRM principles – governance, testing, and life cycle oversight – can be extended and adapted to suit the needs of modern AI systems. The session will highlight key differences between traditional and AI and ML models and show how existing risk frameworks must evolve to remain relevant and effective.

We’ll examine how leading frameworks such as the National Institute of Standards and Technology (NIST) AI Risk Management Framework (RMF), ISO/IEC 42001, and state-level regulations like the Colorado AI Act are shaping expectations for AI governance. Attendees will gain a working understanding of how to navigate the intersection of compliance, transparency, and operational effectiveness across the AI model life cycle.

By attending this session, you should be able to:

  • Describe how MRM principles support governance, validation, and accountability in AI model life cycles
  • Distinguish between conventional and AI and ML models and evaluate how MRM must adapt to address unique risks such as complexity, data drift, and limited explainability
  • Interpret emerging regulations and standards shaping AI risk oversight, including NIST AI RMF, ISO/IEC 42001, and the Colorado AI Act
  • Apply a practical framework to manage AI model risk using strategies such as inventorying, risk tiering, documentation, and performance monitoring

Continuing professional education

Prerequisites: None

Program level: Basic

Advance preparation: None

Delivery method: Webinar (group internet based)

Field of study: Information technology

This session is recommended for 1.0 hour of CPE credit.

Note: All participants MUST be logged into the webinar INDIVIDUALLY to receive CPE credit. CPE credit will only be granted in the name of the individual logged into the LIVE presentation. Crowe is unable to grant CPE credit for groups viewing the webinar or for viewing on-demand recordings of the webinar.

There is no registration fee for participating in this webinar; therefore, there is no cancellation fee.

Additional CPE information

Presenters

Ryan Michalik, Principal, Consulting

Corey Minard, Senior Manager, Consulting

Luke Garcia, Consulting

Who should attend?

AI risk and governance leaders, anti-money laundering officers, board members, Bank Secrecy Act officers, chief audit executives, chief compliance officers, chief risk officers, compliance executives, general counsel, internal audit directors and professionals, risk executives, financial intelligence unit managers and analysts, and model risk managers

Additional information

For additional information, please contact Jonathan Losey.

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