Does technology help or hurt employment?
Combing through 35,000 job categories in U.S. census data, economists found a new way to quantify technology’s effects on job loss and creation.
Combing through 35,000 job categories in U.S. census data, economists found a new way to quantify technology’s effects on job loss and creation.
Daron Acemoglu, David Autor, and Simon Johnson, faculty co-directors of the new MIT Shaping the Future of Work Initiative, describe why the work matters and what they hope to achieve.
The award honors research on public policy with a focus on economic and governmental reforms.
In campus talk, Daron Acemoglu offers vision of “machine usefulness,” rather than autonomous “intelligence,” to help workers and spread prosperity.
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
A new report by MIT researchers highlights the potential of generative AI to help workers with certain writing assignments.
A new report by MIT researchers highlights the potential of generative AI to help workers with certain writing assignments.
In China, the use of AI-driven facial recognition helps the regime repress dissent while enhancing the technology, researchers report.
NOMIS Foundation honors the Ford Professor of Economics for his contributions to understanding the effects of technological change and globalization on jobs and earnings prospects for workers.
The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.