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Strengthening the fight against financial crime with human-generative AI synergy

Gerard O’Reilly
Gerard O’Reilly • 5 min read
Strengthening the fight against financial crime with human-generative AI synergy
Generative AI can help financial institutions overcome the fine fatigue, address vulnerabilities at their core and improve AML. Photo: Pexels
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The financial crime landscape in Asia Pacific has undergone a radical shift in recent years, driven by evolving regulatory requirements, technological disruption, and burgeoning wealth in the region. To keep up with this rapid transformation, financial institutions and regulators are turning to advanced technologies to elevate their anti-money laundering capabilities.

The $2.8 billion money laundering case in Singapore last year and the subsequent whole-of-government response are a reflection of the implications of such illicit activities. Money laundering remains a grave concern in financial systems, and anti-money laundering (AML) regimes are no longer just a regulatory checkbox but a critical issue that warrants collective action.

In the wake of heavy fines to prevent money laundering and other financial crimes, financial institutions are spending more resources on compliance and monitoring. However, they continue to rely solely on costly compliance shortcuts. The alarming surge in financial crime fines — a phenomenon known as “fine fatigue” — raises stark questions about the effectiveness of traditional penalties in combating money laundering.

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