Nishi Gupta moderated a panel hosted by the Association of Certified Anti-Money Laundering Specialists (ACAMS) New York Chapter at Fordham University. During the program, “When Is It Appropriate to Use AI in AML?,” the panelists:

• Explored the nuanced decision-making behind the adoption of artificial intelligence (AI) in anti-money laundering (AML)
• Identified key scenarios where the use of AI is most effective and appropriate
• Examined the advantages and challenges of using AI in AML
• Provided actionable insights to inform strategic insights, optimize detection capabilities and enhance overall effectiveness of AML programs