AI culture ‘profiling’ and anti-money laundering
Event Details
Free to members
Date and Time
Mon, 7 September 2026
12:30 - 13:30
Location
Your event link is available via IOB Learn
Event Details
Free to members
Date and Time
Mon, 7 September 2026
12:30 - 13:30
Location
Your event link is available via IOB Learn
How are financial institutions using advanced data and AI to strengthen financial crime detection—and what are the wider implications?
This event, hosted by Professor Cal Muckley, explores emerging research on the role of cultural indicators in anti-money laundering (AML) detection. Drawing on extensive real-world data from a global financial institution, this event examines how behavioural patterns linked to national culture can play a significant role in identifying suspicious activity.
It will also open up a broader discussion on the balance between innovation and responsibility—highlighting the importance of strong data protection, safeguarding individual privacy, and supporting financial inclusion, while maintaining effective financial crime controls.
This is a valuable opportunity for IOB members to consider the evolving landscape of AML and the role of AI in shaping its future.
This event will automatically close at midnight the night before the event or if the event is fully booked.
There is 1 CPD hour available for the holders of the following designations:
Licentiate of Compliance Institute
Professional Banker
Chartered Banker
Certified Bank Director
Certified Investment Fund Director
Fellow of Compliance Institute (Compliance)
Certified Financial Crime Professional
Certified Data Protection Officer
Certified Fintech Risk & Compliance Professional
Certified Sustainable Finance Compliance Professional
Accredited Funds Professional
Prof Cal Muckley
Chair in Operational Risk, Banking & Finance University College Dublin (UCD)
Cal is Professor of Operational Risk in the Banking and Finance area at the UCD College of Business and a Fellow at the UCD Geary Institute. His research is in applied AI in financial misconduct, customer vulnerability and mitigating financial fraud.
In particular, he tests if older persons' difficulty in managing money, e.g., interacting with a bank, paying bills and making pension decisions, can help identify individuals with early-stage dementia. He has been a Visiting Scholar at New York University Stern School of Business, Yale University, at Groningen and Tilburg Universities in the Netherlands, at ESC Rennes School of Business in France, at Freiburg University and at the London School of Economics.
He is a Fulbright Scholar and he has also received other awards and fellowships. These include a Thomas Moran Fellowship from the Mutual of America Life Insurance, and the Barrington Medal from the Statistical & Social Inquiry Society of Ireland. Cal has published in scholarly journals including the Journal of Corporate Finance, the Journal of Econometrics and the Journal of Empirical Finance. His work has been widely reported in the media, including in the Huffington Post and the Wall Street Journal.
