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MIT Generative AI Week

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Presentations of the MIT Generative AI Week

 

MIT Generative AI Week reflects our conviction that MIT has a special responsibility to help society come to grips with the tectonic forces of generative AI – to understand its potential, contain its risks, and harness its power for good. Our objective is to spotlight the insights of our MIT researchers, stimulate thoughtful analysis, and engage in critical dialogues on the implications and possibilities of generative AI in our ever-shifting landscape.

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Generative AI Shaping The Future: Opening Remarks by President Kornbluth

MIT President Sally Kornbluth highlights several projects faculty and students have undertaken to use generative AI to make a positive impact in the world.
 
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MIT Professor of Electrical Engineering and Computer Science and CSAIL Director Daniela Rus discusses a future where generative AI exists as both a technological marvel and a source of hope and a force for good . 
 
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MIT Professor of Literature and Distinguished Chair of the Humanities Joshua Bennett reads his poem about what it means to be human, drawing inspiration from his daughter and childhood .
 
 
 
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MIT Electrical Engineering and Computer Science Professor and CSAIL member Jacob Andreas explores the capabilities and applications of generative models of language.  
 
 
 
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Professor and Head of AI + Decision-Making Faculty, MIT Electrical Engineering and Computer Science, and CSAIL member Antonio Torralba looks at the potential of generative models in analyzing images.
 
 
 
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MIT Associate Professor and MIT Brain and Cognitive Sciences and McGovern Institute Investigator Ev Fedorenko on applying large language models to help us better understand language and the human brain. 
 
 
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MIT Professor, Schwarzman College of Computing and Associate Director, and COO of CSAIL Armando Solar-Lezama presents how AI will program itself.  
 
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William T. Freeman, Professor, MIT Electrical Engineering and Computer Science and CSAIL, sits down for a roundtable talk with all four speakers about some potential future research directions for generative AI. 
 
 
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Joy Ma, MIT Major in Physics and Computer Science, Class of 2024, reads an excerpt from the 1925 science fiction novel “Metropolis."  
 
 
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In a roundtable about the future of generative AI, moderator Daniela Rus sits down with MIT professors Joshua Tenenbaum, (Computational Cognitive Science, CSAIL, and Center for Brains, Minds, and Machines), Dina Katabi, (Electrical Engineering and Computer Science and CSAIL) and Max Tegmark (Physics).  
 
 
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Cathy Wu, Assistant Professor, MIT Civil and Environmental Engineering, IDSS, and LIDS, describes how generative AI could help create synthetic data to help prepare self-driving cars for rare events, better model traffic patterns, and improve zoning regulations to ease housing shortages.
 
 
 
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Generative AI Applications: John Hart

John Hart, Professor and Department Head, MIT Mechanical Engineering, on how AI and computing can connect design to future production infrastructure.
 
 
 
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Generative AI Applications: Andrew Lo

Andrew Lo, Professor, MIT Sloan School of Management, CSAIL, and Director of the MIT Laboratory for Financial Engineering, talks about how AI can impact finance, including whether large language models can provide sound financial advice.
 
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Tod Machover, Professor, MIT Media Lab and MIT Opera of the Future Group Director, presents potential avenues where generative AI can help musicians discover new sounds. 
 
 
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