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Exploring the Future of AI Validation: Trends and Tools
December 16, 2025 @ 12:00 pm – 1:00 pm EST
Event details
AI-powered tools are becoming increasingly embedded in the fight against financial crime. From transaction monitoring to sanctions screening and fraud detection, the use of machine learning and generative AI is helping financial services organizations improve efficiency. It’s also attracting heightened regulatory attention.
This webinar explores how financial services organizations can meet emerging AI governance expectations and develop defensible validation protocols that support risk and compliance functions. Crowe specialists will examine audit frameworks, regulatory benchmarks, and technical practices shaping the next generation of AI validation. They’ll also take an in-depth look at how the National Institute of Standards and Technology’s AI Risk Management Framework (AI RMF 1.0), the International Organization for Standardization (ISO) and International Electrotechnical Commission (IEC) 42001 standard, and ISACA’s Artificial Intelligence Audit Toolkit can guide organizations in establishing robust internal validation approaches.
Additionally, presenters will walk through two financial crime scenarios that often challenge traditional validation strategies: anomaly detection models in transaction monitoring and generative AI applications for alert summarization.
After attending this session, you should be able to:
- Describe the role of AI validation in governance and its alignment with the NIST AI RMF and ISO/IEC 42001 frameworks
- Evaluate AI validation artifacts, such as model cards, explainability tools, and data sheets, and identify their audit relevance
- Differentiate validation approaches for rule-based, machine learning, and generative AI systems in financial crime contexts
- Analyze real-world use cases and apply defensible validation methods to test AI-enabled transaction monitoring and alert summarization systems
Continuing professional education
Prerequisites: A basic understanding and review of the following:
- NIST AI Risk Management Framework (AI RMF 1.0), Sections 5.3 and 5.4. Participants should understand the “Measure” and “Manage” functions used to scope and validate AI systems.
Program level: Intermediate
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.
