Deutsche Bundesbank, Regional Office in Hesse
Kuppelsaal, third floor
Taunusanlage 5, 60329 Frankfurt/Main, Germany
Artificial intelligence is at the centre of attention in politics and among the general public. Its transformative potential is altering companies, markets, and the functioning of our economy. At the same time, the associated risks should not be underestimated. Amidst these changes, it is central banks which face the challenge of performing their central role as guardians of price stability even in times of technological and regulatory change. Rapid progress in the field of artificial intelligence is opening up entirely new possibilities for economic analysis and a new depth of economic insight. Against this backdrop, the Deutsche Bundesbank and SUERF are pleased to co-host a conference on “Artificial Intelligence and the Future of Central Banking” in Frankfurt am Main, Germany on 9th December 2025. Bringing together experts from academia, central banks, and international organisations, the event will feature:
This conference will provide a unique platform to explore AI’s transformative impact on central banking and foster dialogue on its opportunities and challenges.
Forecasting public debt in the euro area using machine learning: decision tools for financial markets
Amélie Barbier-Gauchard and Emmanouil Sofianos, University of StrasbourgDual interpretation of machine learning forecasts
Karin Klieber, European Central Bank (ECB)Co-author(s): Philippe Goulet Coulombe, Maximilian Goebel
Scenario analysis with multivariate Bayesian machine learning models
Anna Stelzer, Oesterreichische NationalbankCo-author(s): Michael Pfarrhofer
Warning words in a warming world: central bank communication and climate change
Davide Romelli, Trinity College DublinCo-author(s): Emanuele Campiglio, Jerome Deyris, Ginevra Scalisi
Disagreement about fiscal policy
Peter Tillmann, University GiessenCo-author(s): Peter Winker, Albina Latifi, Viktoriia Naboka-Krell
Slow tone: detecting white lie disclosures using response latency
Doron Reichmann, Goethe-Universität FrankfurtCo-author(s): John C. Heater
The labor market effects of generative artificial intelligence
Jonathan Hartley, Stanford UniversityCo-author(s): Filip Jolevski, Vitor Melo, Brendan Moore
The macroeconomic effects of AI innovation
Andrea Giovanni Gazzani, Bank of ItalyCo-author(s): Filippo Natoli
Concepts and challenges of measuring production of artificial intelligence in the U.S. economy
Tina Highfill, U.S. Bureau of Economic AnalysisCo-author(s): David Wasshausen, Gregory Prunchak
