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Prof. Fernando Perez-Cruz
Senior Advisor
Bank for International Settlements
View LinkedIn profileFernando Pérez-Cruz received a Ph.D. in Electrical Engineering in 2000 from the Technical University of Madrid. He is a Sr Advisor on Innovation at the BIS and an adjunct Professor at the Computer Science department at ETH Zurich. He was the Chief Data Scientist at the Swiss Data Science Center. He has been a member of the technical staff at Bell Labs and an Associate Professor at the University Carlos III in Madrid. He has worked at Princeton University under a Marie Curie Fellowship and a Research Scientist at Amazon. He has also held positions at the Gatsby Unit (London), Max Planck Institute for Biological Cybernetics (Tuebingen), BioWulf Technologies (New York). His current research interest lies in machine learning and its application to economics, sciences, and engineering. He has an h-index of 42.
Speaking At
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9:45–11:15amTue 17 NovPublic-Private RoundtableRoundtable Room 3Invite-Only
Accountability & Liability In Agentic Systems
Multi-Agent AI in Financial Systems and the Implications for Central Banking
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Dr. Amira AbdelazizAI & FinTech Solutions Senior ManagerCentral Bank of Egypt
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Amy LeeHead of Fintech HubBank of England
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Prof. Fernando Perez-CruzSenior AdvisorBank for International Settlements
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Dr. Gary AngFounder & PrincipalQuaintitative
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Jeremy HorExecutive Director, Enterprise Knowledge DepartmentMonetary Authority of Singapore
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Lukasz KubickiHead of Technology & Innovation DivisionEuropean Central Bank
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Maxim AfanasyevJAPAC FSI HeadGoogle Cloud
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Dr. Nino LandererDeputy Director General Strategy & InnovationDeutsche Bundesbank
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Dr. Sophia KazinnikResearch ScientistStanford Digital Economy Lab (HAI)
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Miguel DíazDeputy Head, BIS Innovation Hub & Head of StrategyBank for International SettlementsModerator
About this session
Advances in AI are enabling multiple intelligent agents to collaborate, make decisions and execute complex tasks with increasing autonomy. In financial systems, these capabilities could support new approaches to economic simulation, policy analysis, supervisory monitoring and increasingly autonomous operations.
While offering significant opportunities to enhance decision-making and system efficiency, they also introduce new questions around governance, validation, accountability, systemic behaviour and financial stability. This roundtable will critically assess these emerging capabilities, associate risks and examine the implications for central banking.
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