Keeping an AI on AML Efficiency

2 ACAMS Credits
Learning Objectives

Utilizing AI/machine learning to enhance legacy risk management systems through intelligent segmentation of client data and integration into transaction monitoring models

Analyzing potential vulnerabilities of AI such as impaired data, shifting crime typologies or algorithmic bias to ensure systemic integrity and take corrective actions as warranted

Reviewing AI and AML trends regularly to identify viable applications of robotics, AI and machine learning to optimize technological efficiencies and keep oversight systems robust


ACAMS Members



Who Should Attend

Compliance Personnel, IT Specialists, Risk Managers, Legal Advisors, Industry Consultants


North America, Caribbean, Banking, Casinos, MSBs, Securities