Iman van Lelyveld heads the Data Science Hub (DSH) at De Nederlandsche Bank (DNB), is Professor of Banking and Financial Markets at the Finance Group of the VU Amsterdam and a visiting professor at the European University Institute in Florence. He has been involved in many regulatory policy issues at the Basel Committee and in particular in the Research Task Force – chairing several groups. He has published widely on international banking and financial networks and has worked for Deutsche Bank, the Bank of England, and the Bank for International Settlements (BIS).
His current interest is to foster cooperation amongst central banks and supervisors through the deployment of open source tooling. As Head of DNB’s DSH he leads a cross-disciplinary team of data scientists that has delivered 70+ projects since its launch. These range from small experiments to stress tests and forecasting models in the cloud and in production. He is also involved in the Supervisory Digital Finance Academy (EU-DSFA) to provide supervisors with the opportunity to level up their knowledge and skills through, for instance, hackathons.
Roundtable Room 3, Ground Floor
Open
AI adoption by central banks, the financial institutions they supervise, and in financial systems and infrastructure is growing, even as AI’s capabilities and the AI risk landscape is rapidly evolving.
Increasingly powerful frontier models can enhance efficiency and decision making, whilst posing cybersecurity and financial system resilience risks as they can autonomously identify and exploit software vulnerabilities, raising significant implications for critical financial infrastructure such as national payment systems and the wider financial industry.
This roundtable discusses how central banks can prepare and respond to the next and future generations of AI capabilities and risks, ensuring cybersecurity, resilience and the trusted adoption of AI. The session will highlight best practices, challenges, lessons learnt and opportunities for cross-border collaboration in implementing and scaling AI safely and securely.