MIT researchers, including IDSS doctoral student Hussein Mozannar, created a method that helps humans develop a more accurate mental model of an artificial intelligence teammate.
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Institute for Data, Systems, and Society (IDSS) is committed to addressing complex societal challenges by advancing education and research at the intersection of statistics, data science, information and decision systems, and social sciences.
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
IDSS core faculty David Gamarnik has developed a new tool, the Overlap Gap Property, for understanding computational problems that appear intractable.
A new course from IDSS affiliate Youssef Marzouk teaches students how to use computational techniques to solve real-world problems, from landing a spacecraft to placing cell phone towers.