The Generative AI Coast-to-Coast webinars will bring together speakers from peer institutions to discuss Generative AI in research with the larger goal of fostering a broad community of cross-institutional and interdisciplinary researchers, and building research ideas and collaboration.

Participating Institutions: Johns Hopkins University; the Ohio State University; Rice University; the International Computer Science Institute, an Affiliated Institute of University of California, Berkeley; University of Michigan; and the University of Washington.

2023

• "An Under the Hood Look at Generative AI: Potentials and Pitfalls" (August 31, 2023)
  • "Generative AI & Elections: The Open Source* Problem" presented by David Evan Harris, Senior Research Fellow, International Computer Science Institute, University of California, Berkeley
  • "Moving Beyond One-Size-Fits-All in Generative AI" presented by Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; University of Michigan
  • Sarah Stone, Executive Director, eScience Institute, University of Washington (Moderator)
• "A Conversation on Policy, Ethics, and Generative AI" (August 28, 2023)
  • Fireside chat with Marjory Blumenthal, International Computer Science Institute, University of California, Berkeley and Merve Hickok, Responsible Data and AI Advisor, Michigan Institute for Data Science; President, Center for AI & Digital Policy; Founder, AIethicist.org
  • H. V. Jagadish, Director, Michigan Institute for Data Science; Edgar F Codd Distinguished University Professor of Electrical Engineering and Computer Science, Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science, Professor of Electrical Engineering and Computer Science, College of Engineering, University of Michigan (Moderator)
• "Generative AI in the Lab" (August 23, 2023)
  • "Generative AI for Drug Discovery" presented by Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering, The Ohio State University
  • "Generative Models for Graph Data: Challenges and Opportunities" presented by Arlei Silva, Assistant Professor of Computer Science, Rice University
  • Jing Liu, Executive Director, Michigan Institute for Data Science, University of Michigan (Moderator)
• "Generative AI in Healthcare and Public Health" (August 8, 2023)
  • "Large Language Models in Medicine: Opportunities and Challenges" presented by Mark Dredze, John C Malone Professor of Computer Science; Director of Research (Foundations of AI), JHU AI-X Foundry; Johns Hopkins University
  • "Generative AI in Global Health Metrics: Opportunities and Risks in Natural Language Processing, AI-Assisted Data Analysis, and Simulation Modeling" presented by Abraham D. Flaxman, Associate Professor of Health Metrics Sciences, Institute for Health Metrics and Evaluation (IHME), University of Washington
  • Jing Liu, Executive Director, Michigan Institute for Data Science, University of Michigan (Moderator)