A top spot for AI and ML research in Europe

12.06.2025

Why Causal Reasoning Is Crucial for Reliable AI Decisions

MCML Research Insight - With Christoph Kern, Unai Fischer-Abaigar, Jonas Schweisthal, Dennis Frauen, Stefan Feuerriegel and Frauke Kreuter

As algorithms increasingly make decisions that impact our lives, from managing city traffic to recommending hospital treatments, one question becomes urgent: Can we trust them?

11.06.2025

Better Data, Smarter AI: Why Quality Matters – With Frauke Kreuter

Research Film

How does data quality shape the future of AI? Frauke Kreuter, Professor at the Chair of Statistics and Data Science at LMU Munich and MCML PI, shares her insights on the fundamental role of data quality in the development and deployment of AI.

11.06.2025

Björn Ommer Delivers Keynote at re:publica 2025

Generative AI and the Future of Intelligence

At re:publica 2025 in Berlin, our PI Björn Ommer gave the opening keynote on how generative AI is transforming intelligence into accessible, scalable knowledge. This shift moves society from raw information to decision-relevant knowledge, empowering individuals. Björn highlighted how personal …

Summer School  •  23.06.2025 - 27.06.2025  •  Penck Hotel Dresden, Ostra-Allee 33, 01067 Dresden, Germany

1:00 pm - 12:30 pm

11. International Summer School on AI and Big Data

Mehwish Alam, Télécom Paris
Fredrik Heintz, Linköping University
Ralf Koerrenz, University Jena
Philipp Lorenz-Spreen, TU Dresden University of Technology
Anand Subramoney, Royal Holloway, University of London

The 11th International Summer School on AI and Big Data brings together graduate students, PhD students, researchers, and professionals interested in the areas of Artificial Intelligence, Big Data, and Machine Learning. This year, the focus will be …

Colloquium  •  25.06.2025  •  LMU Department of Statistics and via zoom

4:15 pm - 5:45 pm

Practical Causal Reasoning as a Means for Ethical ML

Isabel Valera, Uni Saarbrücken

In this talk I will give an overview of the role of causality in ethical machine learning, and in particular, in fair and explainable ML. In particular, I will first detail how to use causal reasoning to study fairness and interpretability problems …

Lecture  •  26.06.2025  •  CAS, Seestraße 13, 80802 Munich

6:30 pm - 9:00 pm

Bayesian Insights on Polarization and Disagreement

Prof. Leah Henderson, Ph.D. (CAS Fellow/Groningen)

As part of the CAS Research Focus “Bayesian Reasoning: A Grammar of Science?”, the Center for Advanced Studies (CAS) is hosting a lecture by Leah Henderson from the University of Groningen.