26.10.2025
Unai Fischer-Abaigar Featured on Executive Code
AI Prediction and Its Impact on Government Resource Allocation
MCML Junior Member Unai Fischer-Abaigar, was featured in a recent episode of Executive Code. He discussed his paper “The Value of Prediction in Identifying the Worst-Off”, exploring how governments use AI to allocate limited resources and when improving predictive models is more effective than simply expanding access to public programs. Using real data from Germany’s employment offices, his research challenges the assumption that better prediction always leads to better outcomes in public decision-making.
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From Global to Regional Explanations: Understanding Models More Locally
JMLR research shows how subgroup-specific explanations reveal hidden patterns that global model explanations often miss.
20.01.2026
MCML PI Matthias Nießner Featured in WirtschaftsWoche on Spaitial AI
MCML PI Matthias Nießner featured in WirtschaftsWoche for Spaitial AI, creating realistic 3D models of rooms and interiors in seconds.
19.01.2026
MCML at AAAI 2026
MCML researchers are represented with 11 papers at AAAI 2026 (8 Main, and 3 Workshops).
19.01.2026
MCML PI Frauke Kreuter Featured on ARD Alpha on AI
MCML PI Frauke Kreuter featured on ARD alpha discussing AI in daily life, workplace applications, and responsible, future-ready use.