Recently, five MIT faculty members and two additional alumni were appointed to the school Cohort 2024 of AI2050 Fellows. The award is announced annually by Schmidt Futures, Eric and Wendy Schmidt's philanthropic initiative that goals to speed up scientific innovation.
AI2050 was conceived and co-led by Eric Schmidt and James Manyika. AI2050 is a philanthropic initiative designed to assist solve the issue difficult problems in AI. As a part of their research, each fellow will address the central motivating query of AI2050: “It is the 12 months 2050. AI has proven to be extremely useful for society.” What happened? What are the important thing issues we’ve solved and what opportunities and opportunities have we identified to make sure this end result?”
This 12 months's MIT-affiliated AI2050 Fellows include:
David AuthorDaniel (1972) and Gail Rubinfeld Professor within the MIT Department of Economics and co-director of the MIT Shaping the Future of Work Initiative and the National Bureau of Economic Research's Labor Studies Program, has been named a 2024 AI2050 Senior Fellow. His scholarship examines the impact of technological change and globalization on the labor market on job polarization, skill requirements, income levels and inequality, and election outcomes. The writer's AI2050 project will use real-time data on AI adoption to make clear how recent tools interact with human capabilities in shaping employment and income. The work will provide an accessible framework for entrepreneurs, technologists and policymakers who need to specifically understand how AI can complement human expertise. The writer has received quite a few awards and honors, including a CAREER Award from the National Science Foundation, a fellowship from the Alfred P. Sloan Foundation, an Andrew Carnegie Fellowship, and the Heinz twenty fifth Special Recognition Award from the Heinz Family Foundation for his work “that advances our understanding “How globalization and technological change affect the roles and earnings prospects of American staff.” Scientist were chosen.
Sara BeeryAssistant Professor within the Department of Electrical Engineering and Computer Science (EECS) and Principal Investigator within the Computer Science and Artificial Intelligence Laboratory (CSAIL), has been named an Early Career Fellow. Beery's work focuses on developing computer vision methods that enable global environmental and biodiversity monitoring across data modalities and address real-world challenges including strong spatiotemporal correlations, incomplete data quality, fine-grained categories, and lengthy distributions. She collaborates with non-governmental organizations and government agencies to deploy her methods globally and works to extend the range and accessibility of educational research in artificial intelligence through interdisciplinary capability constructing and education. Beery earned a BS in electrical engineering and arithmetic from Seattle University and a PhD in computer science and arithmetic from Caltech, where she was awarded the Amori Prize for her outstanding dissertation.
Gabriele FarinaAssistant Professor of EECS and Principal Investigator on the Laboratory for Information and Decision Systems (LIDS), has been named an Early Career Fellow. Farina's work lies on the intersection of artificial intelligence, computer science, operations research and economics. In particular, he focuses on learning and optimization methods for sequential decision making and convex-concave saddle point problems with applications to equilibrium in games. Farina also studies computer game theory and recently co-authored a study about combining language models with strategic considering. He is the recipient of a NeurIPS Best Paper Award and was a Facebook Fellow in economics and computer science. His dissertation was awarded the 2023 ACM SIGecom Doctoral Dissertation Award and considered one of the 2 2023 ACM Dissertation Award Honorable Mentions, amongst others.
Marzyeh Ghassemi PhD '17, associate professor of EECS and the Institute for Medical Engineering and Science, principal investigator at CSAIL and LIDS, and partner of the Abdul Latif Jameel Clinic for Machine Learning in Health and the Institute for Data, Systems, and Society, has change into an Early Career Fellow appointed. Ghassemi's research within the Healthy ML Group creates a rigorous quantitative framework to design, develop and deploy ML models in a strong and fair manner, with a concentrate on healthcare environments. Their contributions range from socially conscious model construction to improving subgroup and layer-robust learning methods to identifying key insights in model deployment scenarios which have implications for policy, health practice, and justice. Among other things, Ghassemi was named considered one of the 35 Innovators under 35; and was awarded the 2018 Seth J. Teller Award, the 2023 MIT Prize for Open Data, a 2024 NSF CAREER Award, and the Google Research Scholar Award. She founded the nonprofit Association for Health, Inference and Learning (AHLI) and her work has been featured in popular press similar to , , , and .
Yoon KimAssistant Professor at EECS and Principal Investigator at CSAIL, has been named an Early Career Fellow. Kim's work spans the interface between natural language processing and machine learning, touching on efficient training and deployment of large-scale models, learning from small data sets, neurosymbolic approaches, deep language learning, and connections between computational and human language processing. Kim is affiliated with CSAIL and received his PhD in computer science from Harvard University; his MS in data science from New York University; his M.A. in statistics from Columbia University; and his BA in mathematics and economics from Cornell University.
Other alumni Roger Grosse PhD '14, associate professor of computer science on the University of Toronto, and David Rolnick '12, PhD '18, assistant professor on the Mila-Quebec AI Institute, were also named senior and early profession fellows, respectively.
