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Hosted by
Karin Keller-Sutter
Federal Councillor & Head of the Federal Department of Finance, Switzerland
Trevor Fitzpatrick
Head of Division
Central Bank of Ireland
Trevor is Head of RADAR, the Central Bank of Ireland supervisory risk analytics and suptech division, where he leads talented teams supporting supervisors and building risk-focused data capability for supervision. His current work is focused on risk-based evaluation of AI systems and the productive, safe use of AI in financial services, including leading the Bank’s technical AI risk assessment under the EU AI Act.
He has worked across two central banks over 24 years, in a range of roles in economics, financial stability, and supervision. Trevor holds graduate degrees from NUI Galway and UCD, and a PhD from the University of Southampton Business School, where his research applied machine learning to consumer credit risk.
Speaking at
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2:00–3:30pmTue 23 JunGFTN InsightsRoundtable Room 3, Ground FloorOpen
Roadmap for AI and Quantum
Central Banking in the Age of AI: Cybersecurity, Resilience and Trusted Adoption
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Colin PayneHead of InnovationFinancial Conduct Authority (FCA)
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Iman van LelyveldHead of Data Science HubDe Nederlandsche Bank
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Jeremy HorExecutive Director, Enterprise Knowledge DepartmentMonetary Authority of Singapore
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Dr. Jochen PapenbrockEMEA Head of Financial TechnologyNVIDIA
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Laura Tamayo IglesiasData, AI, & Business Development DirectorIberpay
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Michael JeffersonHead of Financial Services Public Policy EMEAAmazon Web Services
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Dr. Nino LandererDeputy Director General Strategy & InnovationDeutsche Bundesbank
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Randall DuranSenior LecturerSingapore Management University
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Sonja DavidovicSenior Digital Expert on Transformative TechnologyInternational Monetary Fund
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Trevor FitzpatrickHead of DivisionCentral Bank of Ireland
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Caroline MalcolmStrategic Advisor on AI & Digital AssetsCambridge Centre for Alternative ForumModerator
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Díaz MiguelDeputy Head of the BIS Innovation Hub & Head of StrategyBank for International Settlements (BIS)Moderator
About this session
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.
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