Prerequisites: 6.041, 6.042, or 18.600 (or any one as a co-requisite)
Instructors: Prof. Aleksander Madry, Prof. Asu Ozdaglar, and Prof. Ashia Wilson
Schedule: TR11-12:30, room 54-100; Recitations F1, F2, F3 room 13-3101
Introduction to societally-minded thinking about data-driven decision making. Surveys the key concepts and challenges emerging in this context, pinpointing the underlying non-obvious interactions, undesirable feedback loops and unintended consequences. The overarching goal is to enable the students to develop their own principled perspective on the interaction of data-driven decision making and society.