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### MIT Faculty and Alumni Honored as AI2050 Fellows
Five faculty members from MIT, along with two alumni, have been recognized by Schmidt Futures as part of the 2024 AI2050 Fellows cohort. Schmidt Futures, an initiative by Eric and Wendy Schmidt, annually honors individuals contributing to scientific innovation.
AI2050, co-chaired by Eric Schmidt and James Manyika, focuses on addressing significant challenges in artificial intelligence. The initiative encourages fellows to explore the question: “It’s 2050. AI has greatly benefited society. What led to this success? What key problems did we solve, and what opportunities did we seize to achieve this positive outcome?”
This year’s honorees from MIT include:
### David Autor
David Autor, a prominent professor in MIT’s Department of Economics, has been named a 2024 AI2050 senior fellow. Known for his research on the effects of technology and globalization on jobs and earnings, Autor will use real-time AI adoption data to study how AI tools influence employment and income. His work aims to guide entrepreneurs, technologists, and policymakers in integrating AI with human expertise. Autor has received numerous accolades, including the National Science Foundation CAREER Award and the Heinz 25th Special Recognition Award.
### Sara Beery
Assistant Professor Sara Beery from the Department of Electrical Engineering and Computer Science (EECS) has been recognized as an early career fellow. Her research focuses on computer vision methods for monitoring environmental and biodiversity data. Collaborating with global organizations, Beery aims to make AI research more diverse and accessible. She holds a PhD from Caltech and has received the Amori Prize for her dissertation.
### Gabriele Farina
Gabriele Farina, another assistant professor in EECS, has been named an early career fellow. His work, at the crossroads of AI, computer science, and economics, involves learning and optimization methods for decision-making and game theory. Farina has co-authored studies and received awards such as the NeurIPS Best Paper Award.
### Marzyeh Ghassemi
Marzyeh Ghassemi, an associate professor in EECS, focuses on creating fair and robust machine learning models for health applications. Her research impacts policy and health practices and has been recognized by MIT Technology Review’s Innovators Under 35 and other prestigious awards. She is also the founder of the nonprofit Association for Health, Inference, and Learning.
### Yoon Kim
Yoon Kim, an assistant professor in EECS, specializes in natural language processing and machine learning. His research includes efficient model training and deployment, and learning from limited data. Kim holds degrees from Harvard, NYU, Columbia, and Cornell.
In addition to these MIT faculty, alumni Roger Grosse, a professor at the University of Toronto, and David Rolnick, an assistant professor at Mila-Quebec AI Institute, have also been named senior and early career fellows, respectively.
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