Technology usually creates jobs for young, skilled workers. Will AI do the same?
A new study of the postwar U.S. shows which kinds of workers historically filled new tech-enabled jobs.
A new study of the postwar U.S. shows which kinds of workers historically filled new tech-enabled jobs.
The prestigious fellowship funds graduate studies at Stanford University.
Sojun Park, a postdoc at the Center for International Studies, has learned much from his research on intellectual property as well as his interactions with students and mentors at MIT.
Project AI Evidence will connect governments, tech companies, and nonprofits with world-class economists at MIT and across J-PAL’s global network to evaluate and improve AI solutions.
Recent launch event for the center featured discussions on pro-worker AI, wealth inequality, and the future of liberal democracy.
Postdoc Zongyi Li, Associate Professor Tess Smidt, and seven additional alumni will be supported in the development of AI against difficult problems.
Economics doctoral student Whitney Zhang investigates how technologies and organizational decisions shape labor markets.
New test could help determine if AI systems that make accurate predictions in one area can understand it well enough to apply that ability to a different area.
Sendhil Mullainathan brings a lifetime of unique perspectives to research in behavioral economics and machine learning.
With support from the Stone Foundation, the center will advance cutting-edge research and inform policy.