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  Electrical Engineers design systems that sense, process, and transmit energy and information. We leverage computational, theoretical, and experimental tools to develop groundbreaking sensors and energy transducers, new physical substrates for computation, and the systems that address the shared challenges facing humanity.
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  Artificial Intelligence and Decision-making combines intellectual traditions from across computer science and electrical engineering to develop techniques for the analysis and synthesis of systems that interact with an external world via perception, communication, and action; while also learning, making decisions and adapting to a changing environment.
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David Karger

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Professor, [CS]

karger@csail.mit.edu

(617) 258-6167

Office: 32-G592

Research Areas

Educational Technology
Human-Computer Interaction
Theory of Computation

Latest News

New tool empowers users to fight online misinformation

The Trustnet browser extension lets individuals assess the accuracy of any content on any website.

For more open and equitable public discussions on social media, try “meronymity”

A communication system whose users reveal only a few verified aspects of their identity can empower less confident participants to speak up, researchers report.

August 23, 2023

Artificial intelligence for augmentation and productivity

The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.

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