Solve at MIT builds partnerships to tackle complex challenges during Covid-19 crisis
Event convened attendees from around the world to discuss impacts of the pandemic and advance solutions to pressing global problems.
Infusing ethics into experiential learning
In a new undergraduate course, students explore the ethical dimensions of their experiences.
3 Questions: Marion Boulicault and Milo Phillips-Brown on ethics in a technical curriculum
Philosophers are part of a team working on transforming technology ethics education at MIT.
The elephant in the server room
Catherine D’Ignazio’s new book, “Data Feminism,” examines problems of bias and power that beset modern information.
A road map for artificial intelligence policy
In a Starr Forum talk, Luis Videgaray, director of MIT’s AI Policy for the World Project, outlines key facets of regulating new technologies.
A college for the computing age
With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation.
How cities can leverage citizen data while protecting privacy
Study offers models for preserving the privacy of citizens while using their data to improve government services.
Communities in the cloud
PhD student Steven Gonzalez studies cloud computing with the eye of an anthropologist.
Q&A: Phillip Isola on the art and science of generative models
Image-translation pioneer discusses the past, present, and future of generative adversarial networks, or GANs.
Call for nominations: MIT Media Lab’s Disobedience Award
The Disobedience Award recognizes individuals and groups who engage in ethical, nonviolent acts of disobedience in service of society.
3 Questions: The social implications and responsibilities of computing
In helping envision the MIT Schwarzman College of Computing, working group is focusing on ethical and societal questions.
MIT Solve convenes leaders to scale global social impact
Solve at MIT 2019 connects cross-sector leaders to accelerate tech startups addressing some of the world’s most pressing problems.
The quest to understand human society scientifically
In STS.047 (Quantifying People), MIT students explore the history of science from the 17th century to the present, through the eyes of statisticians and sociologists.
Keeping genetic engineering localized
Researchers are developing a so-called "daisy-chain" gene-drive system that provides controls for genetic engineering of certain populations.
Ethics, computing, and AI: Perspectives from MIT
Faculty representing all five MIT schools offer views on the ethical and societal implications of new technologies.