This course will introduce you to the basic techniques in artificial intelligence (supervised learning algorithms) and some of the major applications and implications of Big Data and AI for society: how can personal data be tapped into in ethical, safe ways? How can we build consensus on what “ works” and does not in the age of alternative facts and deep fakes? What is the “good” end result of AI based policies? Is privacy dead, or under threat? Will decisions assisted by algorithms reduce or reproduce and perhaps reinforce discriminations and biases? One main task of this course is to formalize these challenges and study them formally: fairness, causality, etc. from a formal point of view (i.e., algorithmic).

El curso tendrá como invitado especial a Roberto Rigobon, quien cerrará el curso con la conferencia “COVID y la privacidad de la información”