In bias we trust?
Explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups, a new study finds.
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Explanation methods that help users determine whether to trust machine-learning model predictions can be less accurate for disadvantaged subgroups, a new study finds.
Known as a visionary who brought together faculty from across MIT, Moses pioneered an influential symbolic mathematics program and held many top leadership posts.
By studying the dynamics of plasma turbulence, MIT researchers are helping to solve one of the mysteries of the origins of cosmological magnetic fields.
Researchers show they can control the properties of lab-grown plant material, which could enable the production of wood products with little waste.
With modular components and an easy-to-use 3D interface, this interactive design pipeline enables anyone to create their own customized robotic hand.
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
Fulbright US Student Program funds opportunities for research, graduate study, and teaching abroad.
A new technique can safely guide an autonomous robot without knowledge of its environmental conditions or the size, shape, or location of obstacles it might encounter.
Graduate student Sarah Cen explores the interplay between humans and artificial intelligence systems, to help build accountability and trust.
MIT and Mass General Brigham researchers and physicians connect in person to bring AI into mainstream health care.
Researchers use artificial intelligence to help autonomous vehicles avoid idling at red lights.
MIT cell biologist and computational neuroscientist recognized for their innovative research contributions.
Faculty members Angela Belcher, Pablo Jarillo-Herrero, and Ronitt Rubinfeld elected by peers for outstanding contributions to research.
Global Semiconductor Alliance’s Women’s Leadership Initiative highlights career opportunities for women in hard technology.
Researchers devise an efficient protocol to keep a user’s private information secure when algorithms use it to recommend products, songs, or shows.