Research from the MIT Center for Constructive Communication finds leading AI models perform worse for users with lower English proficiency, less formal education, and non-US origins.
The context of long-term conversations can cause an LLM to begin mirroring the user’s viewpoints, possibly reducing accuracy or creating a virtual echo-chamber.
Read MoreHe joins Nikos Trichakis in guiding the cross-cutting initiative of the MIT Schwarzman College of Computing.
Read MoreNew research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
Read MoreThe MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.
Read MoreA new book from Professor Munther Dahleh details the creation of a unique kind of transdisciplinary center, uniting many specialties through a common need for data science.
Read MoreThe winning essay of the Envisioning the Future of Computing Prize puts health care disparities at the forefront.
Read MoreAs artificial intelligence develops, we must ask vital questions about ourselves and our society, Ben Vinson III contends in the 2025 Compton Lecture.
Read MoreFelice Frankel discusses the implications of generative AI when communicating science visually.
Read MoreIn a new MIT course co-taught by EECS and philosophy professors, students tackle moral dilemmas of the digital age.
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