The MIT Center for Deployable Machine Learning (CDML) works towards creating AI systems that are robust, reliable and safe for real-world deployment.
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.
“PhotoGuard,” developed by MIT CSAIL researchers, prevents unauthorized image manipulation, safeguarding authenticity in the era of advanced generative models.
Experts from MIT’s School of Engineering, Schwarzman College of Computing, and Sloan Executive Education educate national security leaders in AI fundamentals.
