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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MCML at ICML 2026
MCML researchers are represented with 76 papers at ICML 2026 (64 Main, and 12 Workshops).
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Study Reveals Privacy Risks in Medical AI
Study led by MCML Director Daniel Rückert reveals higher privacy risks in medical AI models.
01.07.2026
MCML at ACL 2026
MCML researchers are represented with 36 papers at ACL 2026 (20 Main, 15 Findings, and 1 Workshop).
