About
Professor Maximilian Kasy is Professor of Economics at the University of Oxford. He received his PhD at UC Berkeley and joined Oxford after appointments at UCLA and Harvard University.
His research interests focus on social foundations for statistics and machine learning, going beyond traditional single-agent decision theory. He also works on economic inequality, job guarantee programs and basic income. He teaches a course on foundations of machine learning at the Department of Economics, Oxford.
In autumn 2025, his book The Means of Prediction: How AI Really Works (and Who Benefits) will be published by University of Chicago Press.
Expertise
- Artificial intelligence
- Economic inequality
- Job guarantee
- Basic income
Selected publications
- The Means of Prediction How AI Really Works (and Who Benefits) (2025)
- Employing the unemployed of Marienthal: Evaluation of a guaranteed job program (2025)
- Adaptive maximization of social welfare (2025)
- Algorithmic bias and racial inequality: a critical review (2024)
- Experimental evaluation of a Basic Income Pilot in Germany (2025)
Media experience
Professor Maximilian Kasy has media experience including regular interviews for newspapers, radio and other outlets, in Austria, Germany, the US and UK.
Languages
English, German, FrenchVideos
Economics and Machine Learning: What Can They Teach Each Other? | Maximilian Kasy: Artificial Intelligence and the Economy, Day 2 of 2