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Dr. Sophia Kazinnik
Research Scientist
Stanford Digital Economy Lab (HAI)
View LinkedIn profileSophia Kazinnik is a Research Scientist at Stanford's Digital Economy Lab (HAI), where she uses generative AI to study how people, institutions, and markets make decisions. Before joining Stanford, she spent seven years as a Financial Economist and Quantitative Analyst at the Federal Reserve, where she reviewed stress testing models and developed natural language tools for bank supervision.
Her research uses LLM-powered agents and simulations to study financial markets, monetary policy, and economic expectations. Recent projects include simulating bank runs and FOMC deliberations, and studying how AI interprets central bank communication. More broadly, her work asks how AI can serve as a laboratory for understanding economic behavior, and as a tool for designing better policy.
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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