Moritz Hardt is a professor in the Department of Electrical Engineering and Computer Science at the University of California at Berkeley. Hardt studies algorithms and machine learning with an emphasis on reliability, validity and societal impact. After earning a PhD in Computer Science from Princeton University, he held positions at IBM Research Almaden, Google Research, and Google Brain. Hardt is co-founder of the Workshop on Fairness, Accountability and Transparency in Machine Learning (FAT / ML) and co-author of the upcoming "Fairness and Machine Learning" manual and has just released his book named: "Patterns, Predictions, and Actions: A Story about Machine Learning"