26.09.2025
Björn Ommer Featured in WELT
AI Bias and Why Neutrality Remains a Human Responsibility
MCML Principal Investigator Björn Ommer was featured in WELT discussing the challenges of AI neutrality and the risks of over- or under-correcting bias in large models. He highlighted that no system can be fully neutral since training data always reflects real-world imbalances, and emphasized the …
26.09.2025
Making Machine Learning More Accessible with AutoML
Researcher in Focus: Matthias Feurer
Matthias Feurer is a Thomas Bayes Fellow and interim professor, funded by the MCML and a member of the Chair of Statistical Learning and Data Science at LMU. He aims to simplify the usage of machine learning by researching methods and developing tools that allow the usage of machine learning by …
25.09.2025
Björn Schuller Featured in Macwelt Article
The Role of Apple Watch in Personal Health and Wellness
MCML Principal Investigator Björn Schuller is mentioned in a recent Macwelt article discussing how the Apple Watch contributes to health monitoring and the future of healthcare. He highlights the potential of smartwatches to detect subtle behavioral and physiological changes, to use audio and sensor …
25.09.2025
Compress Then Explain: Faster, Steadier AI Explanations - With One Tiny Step
MCML Research Insight - With Giuseppe Casalicchio and Bernd Bischl
Imagine re-running feature importance plots and getting slightly different “top features.” Annoying, right? That uncertainty often comes from a quiet assumption: model explanation algorithms typically sample points from data at random. A new ICLR 2025 Spotlight paper by MCML Junior Member Giuseppe Casalicchio, MCML Director Bernd Bischl, first …
24.09.2025
MCML PI Björn Ommer Featured on ZDF NANO Talk
Discussing the Essence, Impact, and Future of Artificial Intelligence
MCML Principal Investigator Björn Ommer joined the ZDF programme NANO Talk, hosted by MCML PI Alena Buyx, to explore the question: What is the essence of artificial intelligence? In the discussion, Ommer reflected on the technological foundations of AI, its societal and ethical implications, and how these developments may shape the future.
©Eleanor Großhenning / Sons of Motion Pictures GmbH
23.09.2025
Benjamin Lange Explores Opportunities and Risks of AI Agents
LMU Newsroom
Our MCML Junior Research Group Leader Benjamin Lange explores the opportunities and risks of AI agents that act like personal assistants, from booking trips to managing finances. While they promise more freedom, they also raise ethical concerns around autonomy, responsibility, and fairness. Lange emphasizes that the society needs clear rules and …