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Hosted by
Karin Keller-Sutter
Federal Councillor & Head of the Federal Department of Finance, Switzerland
Dr. Nino Landerer
Deputy Director General Strategy & Innovation
Deutsche Bundesbank
Nino Landerer is Deputy Director General Strategy & Innovation at the Deutsche Bundesbank. Prior to joining Bundesbank in 2023, Landerer worked for the Swiss Ministry of Finance and the Swiss National Bank, where he led regulatory and innovation projects in the area of capital markets, stock exchange and financial market infrastructure. Landerer holds a PhD from the University of Geneva (2014) and an MSc from the London School of Economics (2010).
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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12:00–1:30pmThu 25 JunGFTN InsightsRoundtable Room 3, Ground FloorOpen
Roadmap for AI and Quantum
Governing AI Applications in Financial Services
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André VellozoChief Executive OfficerDrumwave
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Eva Selamlar-LeutholdCo-CEO / ChairwomanThink&Do Tank for Financial Innovation / KYC Spider
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Fred SunHead of EuropeTencent Cloud International
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Isabelle RocciaManaging Director, EuropeIAPP
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Dr. Joseph BreedenChief Executive OfficerCALM XAI
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Konstantin KotullaFounderPorters
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Dr. Nino LandererDeputy Director General Strategy & InnovationDeutsche Bundesbank
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Thiébaut MeyerDirector, Office of the CISOGoogle Cloud
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Prof. Chia Tek YewAdjunct ProfessorNUS - Asian Institute of Digital FinanceModerator
About this session
From autonomous agents to the management of LLM and other generative AI technologies, artificial intelligence disrupts conventional understandings of data governance, particularly within financial services. This disruption is engendering new trade-offs that policymakers, regulators, and financial institutions have to grapple with, including:
- Reducing digital dependencies vs engaging the realities of a borderless market
- Preserving stability and building internal capabilities while optimising for speed and innovation
- Managing regulatory divergence without sacrificing operational coherence across markets
As AI agents become increasingly empowered to execute transactions on behalf of individuals and businesses, and institutions become increasingly reliant on models developed by a concentrated pool of Big Tech players, how can governments, financial infrastructure operators, and financial institutions balance competing objectives? This session aims to develop a set of principles for governing the use of AI and data within financial services, capturing insights from across the ecosystem.
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