5 MIT college members and two further alumni have been not too long ago named to the 2024 cohort of AI2050 Fellows. The dignity is introduced yearly by Schmidt Sciences, Eric and Wendy Schmidt’s philanthropic initiative that goals to speed up scientific innovation.
Conceived and co-chaired by Eric Schmidt and James Manyika, AI2050 is a philanthropic initiative aimed toward serving to to resolve hard problems in AI. Inside their analysis, every fellow will cope with the central motivating query of AI2050: “It’s 2050. AI has turned out to be massively useful to society. What occurred? What are crucial issues we solved and the alternatives and prospects we realized to make sure this end result?”
This yr’s MIT-affiliated AI2050 Fellows embody:
David Autor, the Daniel (1972) and Gail Rubinfeld Professor within the MIT Division of Economics, and co-director of the MIT Shaping the Way forward for Work Initiative and the Nationwide Bureau of Financial Analysis’s Labor Research Program, has been named a 2024 AI2050 senior fellow. His scholarship explores the labor-market impacts of technological change and globalization on job polarization, ability calls for, earnings ranges and inequality, and electoral outcomes. Autor’s AI2050 mission will leverage real-time knowledge on AI adoption to make clear how new instruments work together with human capabilities in shaping employment and earnings. The work will present an accessible framework for entrepreneurs, technologists, and policymakers in search of to grasp, tangibly, how AI can complement human experience. Autor has obtained quite a few awards and honors, together with a Nationwide Science Basis CAREER Award, an Alfred P. Sloan Basis Fellowship, an Andrew Carnegie Fellowship, and the Heinz twenty fifth Particular Recognition Award from the Heinz Household Basis for his work “remodeling our understanding of how globalization and technological change are impacting jobs and incomes prospects for American employees.” In 2023, Autor was one among two researchers throughout all scientific fields chosen as a NOMIS Distinguished Scientist.
Sara Beery, an assistant professor within the Division of Digital Engineering and Laptop Science (EECS) and a principal investigator within the Laptop Science and Synthetic Intelligence Laboratory (CSAIL), has been named an early profession fellow. Beery’s work focuses on constructing pc imaginative and prescient strategies that allow global-scale environmental and biodiversity monitoring throughout knowledge modalities and tackling real-world challenges, together with sturdy spatiotemporal correlations, imperfect knowledge high quality, fine-grained classes, and long-tailed distributions. She collaborates with nongovernmental organizations and authorities businesses to deploy her strategies worldwide and works towards growing the range and accessibility of educational analysis in synthetic intelligence by means of interdisciplinary capacity-building and schooling. Beery earned a BS in electrical engineering and arithmetic from Seattle College and a PhD in computing and mathematical sciences from Caltech, the place she was honored with the Amori Prize for her excellent dissertation.
Gabriele Farina, an assistant professor in EECS and a principal investigator within the Laboratory for Data and Determination Programs (LIDS), has been named an early profession fellow. Farina’s work lies on the intersection of synthetic intelligence, pc science, operations analysis, and economics. Particularly, he focuses on studying and optimization strategies for sequential decision-making and convex-concave saddle level issues, with purposes to equilibrium discovering in video games. Farina additionally research computational recreation principle and not too long ago served as co-author on a Science study about combining language fashions with strategic reasoning. He’s a recipient of a NeurIPS Greatest Paper Award and was a Fb Fellow in economics and pc science. His dissertation was acknowledged with the 2023 ACM SIGecom Doctoral Dissertation Award and one of many two 2023 ACM Dissertation Award Honorable Mentions, amongst others.
Marzyeh Ghassemi PhD ’17, an affiliate professor in EECS and the Institute for Medical Engineering and Science, principal investigator at CSAIL and LIDS, and affiliate of the Abdul Latif Jameel Clinic for Machine Studying in Well being and the Institute for Information, Programs, and Society, has been named an early profession fellow. Ghassemi’s analysis within the Wholesome ML Group creates a rigorous quantitative framework by which to design, develop, and place ML fashions in a means that’s sturdy and truthful, specializing in well being settings. Her contributions vary from socially conscious mannequin development to bettering subgroup- and shift-robust studying strategies to figuring out necessary insights in mannequin deployment situations which have implications in coverage, well being observe, and fairness. Amongst different awards, Ghassemi has been named one among MIT Know-how Evaluation’s 35 Innovators Below 35; and has been awarded the 2018 Seth J. Teller Award, the 2023 MIT Prize for Open Information, a 2024 NSF CAREER Award, and the Google Analysis Scholar Award. She based the nonprofit Affiliation for Well being, Inference and Studying (AHLI) and her work has been featured in common press akin to Forbes, Fortune, MIT Information, and The Huffington Publish.
Yoon Kim, an assistant professor in EECS and a principal investigator in CSAIL, has been named an early profession fellow. Kim’s work straddles the intersection between pure language processing and machine studying, and touches upon environment friendly coaching and deployment of large-scale fashions, studying from small knowledge, neuro-symbolic approaches, grounded language studying, and connections between computational and human language processing. Affiliated with CSAIL, Kim earned his PhD in pc science at Harvard College; his MS in knowledge science from New York College; his MA in statistics from Columbia College; and his BA in each math and economics from Cornell College.
Further alumni Roger Grosse PhD ’14, a pc science affiliate professor on the College of Toronto, and David Rolnick ’12, PhD ’18, assistant professor at Mila-Quebec AI Institute, have been additionally named senior and early profession fellows, respectively.
