Our Mission

The impressive—often "super-human"—performance of state-of-the-art learning systems creates a major expectation that broad deployment of machine learning will revolutionize almost every aspect of our lives. However, fulfilling this expectation requires ML that is robust to a variety of random and adversarial corruptions, provides reliable decision-making, and is understandable and easy to work with for humans, even if they have no ML expertise. The goal of the MIT Center for Deployable Machine Learning (CDML) is to bring together the broad expertise and focused effort needed to build ML systems that are safe, robust, and reliable enough to be confidently and responsibly deployed in the real world.

Team

Aleksander Mądry
Ankur Moitra
Antonio Torralba
Armando Solar-Lezama
Arvind Satyanarayan
Ashia Wilson
Asu Ozdaglar
Constantinos Daskalakis
David Sontag
Martin Rinard
Marzyeh Ghassemi
Pablo Parrilo
Russ Tedrake