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When should someone trust an AI assistant’s predictions?
MIT researchers, including SES-IDPS 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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The promise and pitfalls of artificial intelligence explored at TEDxMIT event
MIT scientists discuss the future of AI with applications across many sectors, as a tool that can be both beneficial and harmful.
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Tackling hard computational problems
SDSC core faculty David Gamarnik has developed a new tool, the Overlap Gap Property, for understanding computational problems that appear intractable.
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Making computation come alive
A new course from SDSC core faculty Youssef Marzouk teaches students how to use computational techniques to solve real-world problems.
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Systems scientists find clues to why false news snowballs on social media
A new model co-authored by IDPS-SES graduate student Chin-Chia Hsu shows that the more polarized and hyperconnected a social network is, the more likely misinformation will spread.







