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 Researchers at ECCV 2026 Workshop on Geometric Intelligence
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Sven Nyholm Explores the Ethics of Living With Robots
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22.07.2026
MCML Welcomes Student Delegation From HEC Montréal
MCML welcomed students from HEC Montréal for discussions on AI research, ethics, and international academic collaboration.
