Events Archive

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.

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 in algorithmic decision making, stressing the main limitations that we encounter when aiming to …

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 on Language Models and their applications, especially in areas such as education and ethics. What to …

Colloquium  •  11.06.2025  •  LMU Department of Statistics and via zoom

4:15 pm - 5:45 pm

Veridical Data Science and PCS Uncertainty Quantification

Bin Yu, Berkeley

Data Science is central to Al and has driven most of the recent advances in biomedicine and beyond. Human judgment calls are ubiquitous at every step of the data science life cycle (DSLC): problem formulation, data cleaning, EDA, modeling, and reporting. Auch judgment calls are often responsible for the “dangers” of Al by creating a universe of …

Colloquium  •  04.06.2025  •  LMU Department of Statistics and via zoom

4:15 pm - 5:45 pm

Democratizing Methods

Jennifer Hill, New York University

The past few decades have seen an explosion in the development of freely available software to implement statistical methods and algorithms to help explore and analyze data. However, researchers tend to assume that releasing software packages implementing specific methods is sufficient for ensuring that the tools are adopted and used correctly. …

Workshop  •  30.05.2025 - 31.05.2025  •  LMU Main Building, A 120

Epistemology and Theory of Machine Learning

Limits, Interpretability, and Knowledge in Modern AI

This is the second edition of the Epistemology and Theory of Machine Learning series started in 2023. The rapid rise and huge impact of methods in machine learning raises important philosophical questions. There is, in particular, an increasing interest in questions of epistemology: how exactly do machine learning methods contribute to the pursuit …