Note: The workshop is now fully booked! We are trying to find a space to accommodate more participants. In the meantime, you are still encouraged to register. We will add you to the waiting list and notify you if a spot becomes available.
The rapid evolution of global financial systems has provided new opportunities for sophisticated criminal networks. To counter these threats, it is no longer enough to develop isolated tools; we must build a unified front.
This workshop is dedicated to establishing a collaborative research and development ecosystem specifically focused on AI technology to combat financial crime. By bringing together industry practitioners, governmental agencies, and academic researchers, we aim to ensure that the next generation of AI innovation is directly informed by operational reality and legal necessity.
Goals and Vision
Integrated R&D: Shift from fragmented pilot projects to a sustainable ecosystem where research priorities are aligned with the frontline needs of banks and investigators.
Operationalizing AI: Identify and overcome the technical, regulatory and organisational barriers to deploying AI in high-stakes environments, such as Anti-Money Laundering (AML) and fraud detection.
Knowledge Exchange: Promote the exchange of research ideas and results between academic researchers, and the practitioners who apply them in the field.
Workshop Highlights
Cross-Sector Collaboration: Facilitate high-level networking between stakeholders who rarely occupy the same space, fostering long-term partnerships between the private sector, government, and academia.
Interactive Sandpit Sessions: Engage in intensive, collaborative “sandpit” environments where practitioners and researchers brainstorm and prototype AI-driven solutions for real-world bottlenecks, including data privacy and model explainability.
The goal of this workshop is to ensure that the cutting edge of AI research is translated into powerful, actionable technology that protects the integrity of the global financial system.
Poster Session
For PhD candidates and researchers, we invite you to present your research during our Poster Session, where you can receive direct feedback from the practitioners and law enforcement leads who deal with these challenges daily. This is your chance to showcase your innovations to potential collaborators, find practical applications for your models, and play a defining role in building a safer financial future.
Program
Morning
| Time | Session |
|---|---|
| 09:00 ‑ 09:30 | Registration & coffee |
| 09:30 ‑ 09:45 | Opening remarks |
| 09:45 ‑ 10:30 | Keynote - Daniël Meel Daniël Meel is Head of Innovation, Design & Change, Detecting Financial Crime at ABN AMRO Bank |
| 10:30 ‑ 10:40 | Break |
| 10:40 ‑ 11:25 | Keynote - Evert Haasdijk Evert Haasdijk is an AI expert at Deloitte Forensic & Financial Crime and Professor of Applied AI for Preventing and Detecting Financial Crime at UvA |
| 11:25 ‑ 11:35 | Break |
| 11:35 ‑ 12:10 | Flash poster presentations |
| 12:10 ‑ 13:20 | Lunch & poster session |
Afternoon
| Time | Session |
|---|---|
| 13:20 ‑ 14:00 | Panel discussion |
| 14:00 ‑ 14:10 | Break |
| 14:10 ‑ 15:10 | Research presentations |
| 15:10 ‑ 15:20 | Break |
| 15:20 ‑ 16:00 | Breakout “sandpit” sessions |
| 16:00 ‑ 16:20 | Report out from sandpit sessions |
| 16:20 ‑ 16:30 | Closing remarks |
| 16:30 ‑ 17:30 | Networking drinks 🍸 |
Important Dates
Registration deadline If you would like to present a poster 12 April 2026, otherwise 24 April 2026
Notification of acceptance for poster presentations 21 April 2026
Workshop date 6 May 2026
Program committee
-
Evert Haasdijk
AI expert at Deloitte Forensic & Financial Crime
Professor of Applied AI for Preventing and Detecting Financial Crime at UvA -
Gonçalo Marcelino
PhD student at UvA's MultiX lab and the NFI researching AI for AML