Overview

Using artificial intelligence (AI) technology in Anti-Money Laundering (AML) processes has become a critical consideration for financial institutions in their efforts to better comply with regulations and combat financial crime. This discussion aims to explore the nuanced decision-making behind the adoption of AI in AML, identifying key scenarios where its use is most effective and appropriate. Panelists will examine the advantages and challenges of using AI in AML, providing actionable insights to inform strategic decisions, optimize detection capabilities, and enhance overall effectiveness of AML programs.

The panel discussion will be followed by networking with light refreshments.

• Attendees will earn one CAMS Credit. Please ensure you register with the same email address ACAMS has on file
• Due to security requirements of our host, online registration for this event is mandatory and no walk-ins can be accommodated. Doors open at 5:00 PM and will close at 6:15 PM. Please do not arrive prior to 5:00 PM, and attendees arriving after 6:15 PM may not be able to gain entry. Participants arriving prior to 6:15 PM will receive one CAMS credit for attendance to this event.
• In compliance with the Americans with Disabilities Act, the ACAMS New York Chapter will honor requests for reasonable accommodations made by individuals with disabilities. Requests can be served more effectively if notice is provided at least 5 days before the event. Direct accommodation requests to acams.ny.chapter@gmail.com.
• Members of the press please contact the ACAMS New York Chapter prior to quoting any speakers or panelists directly.

Agenda

Check-in starts 5:30 PM ET
Panel starts promptly at 6:00 PM ET
Networking 7:15 PM to 8:30 PM ET

Venue

Fordham University
113 West 60th Street 12th floor
New York, NY 10023