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Government venture capital and Europe's innovation strategy

This paper examines the role of government venture capital (GVC) in addressing persistent gaps in Europe’s risk capital. Unlike the US, Europe faces fragmented financial markets, lower risk tolerance and often disconnected low levels...

This report documents the proceedings of the CIVICA Workshop on Artificial Intelligence in Finance and Central Banking held at Sciences Po on 29 October 2025 as a post-event to the Banque de France AI Methods Conference. Bringing together early-career researchers and professionals, the workshop provided a forum for interdisciplinary exchange on the transformative impact of AI in the financial sector. The report contains six research contributions alongside reflections from central banking practitioners. Topics addressed include the use of alternative data and AI techniques (including satellite imagery, large language models and machine learning) for real-time tracking of economic activity; the evolution of supervisory technology (Suptech) and the challenges it faces; cybersecurity risks and accountability frameworks for AI-enabled FinTech systems; and the democratic and ethical implications of algorithmic decision-making in credit and consumer finance. The report also examines the fragmented international regulatory landscape governing AI in credit risk modelling and presents a methodology for interpretable role-based clustering in multi-layer financial networks. A concluding section draws on insights from the Banco Central do Brasil and the Federal Reserve Bank of New York, which outlines how central banks are currently integrating AI in their operational frameworks. Across contributions a common theme emerges: adoption of AI in finance is not solely a technical transition but is an institutional transformation requiring robust governance, human oversight and sustained collaboration among regulators, academics and the private sector.

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