Auditing AI in Financial Crime Compliance: Governance, Model

Risk

Date: Tuesday, July 21, 2026

Time: 2 pm – 4 pm EST

Cost: Complimentary for members, $50 for non-members

2 hours of CPE credit offered

Hosted by:

Kroll

Location: Jay Suites

109 West 39th Street, 2nd Floor

New York, NY 10018

You are cordially invited to join AIBACP and Kroll for an exclusive interactive executive roundtable exploring how artificial intelligence is reshaping financial crime compliance — and what that means for governance, model risk management, and internal audit.

As financial institutions increasingly leverage AI to enhance transaction monitoring, sanctions screening, adverse media screening, and investigative processes, organizations must balance innovation with effective governance, model validation, and evolving regulatory expectations. This interactive discussion will bring together industry leaders to examine the opportunities, risks, and practical considerations associated with implementing and overseeing AI-enabled compliance programs.

During the roundtable, participants will explore several key questions shaping the industry today, including:

• How is AI transforming financial crime compliance, and where is adoption accelerating?
• What governance structures and accountability frameworks are essential for responsible AI adoption?
• How do AI and machine learning models differ from traditional models from a validation and model risk perspective?
• What challenges do institutions face in assessing explainability, bias, training data quality, and ongoing model performance?
• What role should internal audit play in evaluating AI-driven monitoring systems, governance controls, and model lifecycle management?
• What practical frameworks and leading practices can help institutions strengthen oversight while preparing for evolving regulatory expectations?

Designed for compliance, internal audit, risk, model risk management, and financial crime professionals, this executive roundtable will provide practical insights, peer perspectives, and actionable strategies for building effective governance and assurance frameworks for AI-enabled financial crime compliance.

Speakers: