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Videos

Generative AI: Shaping the Future
November 28, 8:00 AM – 5:15 PM

  • 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.

     

  • Opening Remarks by Daniela Rus

    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.

  • Poetry Reading with Joshua Bennett

    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.

  • Keynote – Rodney Brooks

    The iRobot co-founder, former CSAIL Director, and Robust.AI founder & CTO Rodney Brooks unpacks some of the deep, scientific questions surrounding generative AI, and explores what the technology can tell us about ourselves.

  • Generative AI Foundations: Jacob Andreas

    MIT Electrical Engineering and Computer Science Professor and CSAIL member Jacob Andreas explores the capabilities and applications of generative models of language.

  • Generative AI Foundations: Antonio Torralba

    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.

  • Generative AI Foundations: Ev Fedorenko

    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.

  • Generative AI Foundations: Armando Solar-Lezama

    MIT Professor, Schwarzman College of Computing and Associate Director, and COO of CSAIL Armando Solar-Lezama presents how AI will program itself.

  • Generative AI Foundations: Roundtable Discussion

    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.

  • The Future is Now: Science Fiction Reading with Joy Ma

    Joy Ma, MIT Major in Physics and Computer Science, Class of 2024, reads an excerpt from the 1925 science fiction novel “Metropolis.”

  • The Future is Now: Where are we going?

    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).

  • Keynote – Refik Anadol

    Media Artist and Director Refik Anadol explains how art aided by generative AI can be a powerful tool to visualize societal changes, broaden our perceptions, and inspire us all.

  • Generative AI Applications: Cathy Wu

    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.

  • 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.

  • 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.

  • Generative AI Applications: Tod Machover

    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.

  • Generative AI Applications: Marzyeh Ghassemi

    Marzyeh Ghassemi, Assistant Professor, MIT Electrical Engineering and Computer Science, Institute for Medical Engineering & Science, CSAIL, and Jameel Clinic, shows how some models can perpetuate unequal outcomes in healthcare and how decision-makers can interact with these models.

  • Generative AI Applications: Roundtable Discussion

    Sertac Karaman, Professor, MIT Aeronautics and Astronautics and MIT Laboratory for Information and Decision Systems (LIDS) Director, talks with all five speakers about applications for generative AI in their domains.

  • Generative AI Ethics and Society: Simon Johnson

    Simon Johnson, Professor and Head of the Global Economics and Management group at MIT Sloan School of Management, suggests a middle ground between optimism and pessimism regarding generative AI’s impact on jobs.

  • Generative AI Ethics and Society: Deb Roy

    Deb Roy, Professor, Media Arts and Sciences and Director of MIT Center for Constructive Communication, discusses how generative AI can be integrated into social networks to potentially strengthen democracy.

  • Generative AI Ethics and Society: Aisha Wilson

    Ashia Wilson, Assistant Professor, MIT EECS, and LIDS, on how generative AI can enhance and impact plurality in an increasingly algorithm-driven world.

  • Generative AI Ethics and Society: Casper Hare

    Caspar Hare, Professor, MIT Department of Linguistics and Philosophy, discusses the ethics of agential AI.

  • Generative AI Ethics and Society: Sara Beery

    Sara Beery, Assistant Professor, MIT EECS and CSAIL, speaks about the ways generative AI can help us understand sustainability, ecosystem health, and potentially the health of our planet.

  • Generative AI Ethics and Society: Roundtable Discussion

    Cynthia Breazeal, Professor, MIT Media Arts and Sciences and Dean for Digital Learning, talks to all five speakers about the ethical and societal implications of generative AI.

  • Musical performance: Lullaby for a Whale

    Musician Paul Winter performs “Lullaby for a Whale” on the saxophone.

  • Closing Remarks by Daniela Rus

    Daniela Rus concludes the day with gratitude to the guests and hopes that the audience leaves with meaningful insights.

Generative AI + Education Symposium
November 29, 8:00 AM-12:30 PM

  • Welcome Remarks & Fireside Chat: Will Generative AI Transform Learning and Education?

    Cynthia Breazeal and Chris Capozzola set the stage, followed by Philipp Schmidt moderating a conversation with Mitch Resnick and Justin Reich.

     

  • Reinventing the Learner Experience

    Moderator Cynthia Breazeal in conversation with panelists Randi Williams, Anjali Sastry, Jesse Thaler, and Rachael Harkavy.

  • Morning Lightning Talks

    Short introductions to research projects from Brayden Zhang, Isabella Pu, Shannon Shen, Nwanacho Nwana, Joanne Leong, and Siddharth Mishra-Sharma.

  • Reinventing the Teaching Experience

    Moderator Chris Capozzola in conversation with panelists Eric Klopfer, Melissa Webster, Dirk Englund, and Janet Rankin.

  • Big Ideas from MIT and Closing Remarks

    Moderator Philipp Schmidt in conversation with Hal Abelson, Megan Muniz, and Pattie Maes. Closing remarks by Cynthia Breazeal and Chris Capozolla.

  • Afternoon Lightning Talks

    Short introductions to research projects from David Kim, Evan Patton, Hunter Kemeny, Ferdi Alimadhi, Pat Pataranutaporn, and Valdemar Munch Danry.

Generative AI + Health Symposium
November 29, 12:30 PM-4:30 PM

  • Opening Remarks

    Professor Elsa Olivetti introduces the structure and goals of the Generative AI in Health Symposium.

  • Improving Climate Models Using Machine Learning

    Professor Paul O’Gorman of MIT’s Department of Earth, Atmospheric and Planetary Sciences discusses how machine learning can improve upon and overcome difficulties of current climate modeling techniques.

  • Mobility and Cities: Five areas AI helps and where it does not

    Professor Jinhua Zhao of MIT’s Department of Urban Studies and Planning discusses how AI impacts human transportation and ways it cannot yet meet our needs.

  • Fusing Machine Learning and Simulations for Materials Design

    Professor Rafael Gomez-Bombarelli of MIT’s Department of Materials Science and Engineering discusses how AI can help design sustainable materials and materials production.

  • Tackling Climate Change with Machine Learning

    Professor Priya Donti of MIT’s EECS and LIDS, and co-founder and chair of Climate Change AI discusses the current landscape of machine learning’s impact on climate change.

  • Panel Discussion: The Link Between Health of the Planet and the Health of People

    Moderator Lydia Bourouiba in conversion with Collin Stultz, Matthew Vander Heiden, Anna Marie Wagner, and Sherrie Wang.

  • Using AI to Understand Neurological Diseases and their Therapies

    Professor Dina Katabi of MIT’s Department of Electrical Engineering and Computer Science discusses how AI can help us understand neurodegenerative diseases and the effectiveness of therapies used to treat those diseases.

  • Inverting Protein Structure Prediction Models for Protein Generation

    Professor Sergey Ovchinnikov of MIT’s Department of Biology discusses how to make protein design user-friendly and the potential applications of protein generation.

  • Generative AI for Molecular Design & Synthesis

    Professor Connor Coley of MIT’s Department of Chemical Engineering discusses how computation can help us navigate the vast landscape of possible molecules for therapeutics and other applications.

Generative AI + Creativity Symposium
November 30, 8:30 AM-12:30 PM

  • Opening by Program Co-Chairs

    Professor Dava Newman, Director of the MIT Media Lab, and Professor John Ochsendorf, Founding Director of the MIT Morningside Academy for Design discuss the exciting possibilities of combining our creative, exploratory natures with AI.

  • Welcome – Mark Gorenberg

    Mark Gorenberg, Chair of MIT Corporation and Founder and Managing Director of Zetta Venture Partners talks about the emerging, creative areas of AI and how those tie into MIT’s history of AI advancement.

  • Panel Discussion

    In a roundtable discussion, Caitlin Mueller (MIT Civil and Environmental Engineering and Architecture), Zach Lieberman (MIT Media Lab), Michael Running Wolf (Founder of Indigenous in AI), and Caroline Running Wolf nee Old Coyote, (Executive Director and Co-Founder of Buffalo Tongue, Inc.) showcase their work at the intersection of AI and creativity. They also take questions from the audience.

  • Student Lightning Talks Part 1

    MIT Media Lab students Valdemar Danry, Cathy Fang, Kevin Dunnell, Manuel Cherep, and Nikhil Singh discuss their work at the intersection of AI and creativity.

  • Student Lightning Talks Part 2

    MIT Media Lab students Vera van de Seyp, Leticia Izquierdo, Pat Pataranutaporn, and Hope Schroeder discuss their work at the intersection of AI and creativity.

  • Panel Discussion 2

    In a roundtable discussion, Pattie Maes (MIT Media Lab), Joshua Bennett (MIT Literature and Distinguished Chair of the Humanities), and Pelin Kivrak (Refik Anadol Studio) explore creative, human elements and how AI can be used to supplement their effects. Questions from the audience follow their discussion.

Generative AI + Impact on Commerce
November 30, 12:15 PM-5:00 PM

  • Welcome Remarks

    Dave Schmittlein, Dean and Professor, MIT Sloan School of Management, welcomes guests to the final portion of Generative AI Week.

  • Kate Kellogg

    Kate Kellogg, Professor, MIT Sloan School of Management discusses generative AI’s impact on knowledge workers.

  • Manish Raghavan

    Manish Raghavan, Assistant Professor, MIT Sloan School of Management and EECS, talks about how generative AI can affect employment.

  • Retsef Levi

    Retsef Levi, Professor, MIT Sloan School of Management, on the resilience of AI-enabled business processes and systems.

  • Mert Demirer

    Mert Demirer, Assistant Professor, MIT Sloan School of Management, analyzes the productivity effects of generative AI by looking at the evidence from a field experiment with GithHub Copilot.

  • Dimitris Bertsimas

    Dimitris Bertsimas, Professor and Associate Dean for Business Analytics, MIT Sloan School of Management on legal regenerative AI.

  • Danielle Li

    Danielle Li, Associate Professor, MIT Sloan School of Management discusses Generative AI and Worker Upskilling.

  • Closing Remarks

    Simon Johnson concludes Generative AI Week by thanking the audience, organizers, and guests.