MIT welcomes Frida Polli as its next visiting innovation scholar
The neuroscientist turned entrepreneur will be hosted by the MIT Schwarzman College of Computing and focus on advancing the intersection of behavioral science and AI across MIT.
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The neuroscientist turned entrepreneur will be hosted by the MIT Schwarzman College of Computing and focus on advancing the intersection of behavioral science and AI across MIT.
Five MIT faculty members and two additional alumni are honored with fellowships to advance research on beneficial AI.
Nobel laureate Daron Acemoglu has long studied technology-driven growth. Here’s how he’s thinking about AI’s effect on the economy.
Researchers show that even the best-performing large language models don’t form a true model of the world and its rules, and can thus fail unexpectedly on similar tasks.
A new study shows someone’s beliefs about an LLM play a significant role in the model’s performance and are important for how it is deployed.
In the new economics course 14.163 (Algorithms and Behavioral Science), students investigate the deployment of machine-learning tools and their potential to understand people, reduce bias, and improve society.
Fifteen new faculty members join six of the school’s academic departments.
The majority of U.S. jobs are in occupations that have emerged since 1940, MIT research finds — telling us much about the ways jobs are created and lost.
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.