Moritz Hardt, Ph.D.

Hardt is a director at the Max Planck Institute for Intelligent Systems. Before joining the institute, he was an associate professor for electrical engineering and computer sciences at the University of California, Berkeley. His research contributes to the scientific foundations of machine learning and algorithmic decision-making from a social perspective. He is known for his work on fairness, privacy, scientific validity and strategic behavior in algorithmic systems. Hardt co-founded the Workshop on Fairness, Accountability, and Transparency in Machine Learning. He is a co-author of the textbooks “Fairness and Machine Learning: Limitations and Opportunities” (MIT Press) and “Patterns, Predictions, and Actions: Foundations of Machine Learning” (Princeton University Press).