Bringing meaning into technology deployment
The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.
The MIT Ethics of Computing Research Symposium showcases projects at the intersection of technology, ethics, and social responsibility.
A 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.
A team of MIT researchers founded Themis AI to quantify AI model uncertainty and address knowledge gaps.
Courses on developing AI models for health care need to focus more on identifying and addressing bias, says Leo Anthony Celi.
PhD student Sarah Alnegheimish wants to make machine learning systems accessible.
Through collaborations with organizations like BREIT in Peru, the MIT Institute for Data, Systems, and Society is upskilling hundreds of learners around the world in data science and machine learning.
Led by Assistant Professor Richard Teague, a team of international astronomers has released a collection of papers and public data furthering our understanding of planet formation.
Ground-level ozone in North America and Western Europe may become less sensitive to cutting NOx emissions. The opposite may occur in Northeast Asia.
This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.
Researchers are developing algorithms to predict failures when automation meets the real world in areas like air traffic scheduling or autonomous vehicles.
Pathways involved in DNA repair and other cellular functions could contribute to the development of Alzheimer’s.
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
Postdoc Haoran Li describes how the Concrete Sustainability Hub is enabling accessible, fast, and robust pavement decision-making.
A new study shows public views on data privacy vary according to how the data are used, who benefits, and other conditions.
A detailed MIT analysis identifies some promising options but also raises unexpected concerns.