Presented By: Michigan Institute for Data and AI in Society
Generative AI Coast-to-Coast Webinar Series
Are you wondering how Generative AI can boost your research productivity and help you with literature search, code writing, hypothesis generation, data query, and other things in your projects?
Join us to hear from prominent researchers who are using Generative AI to accelerate their research, and their thoughts on ethical and technical issues with Generative AI when used in research.
Each webinar will include extensive audience discussion time.
Participating institutions include Johns Hopkins University; the Ohio State University; Rice University; the International Computer Science Institute at the University of California, Berkeley; University of Michigan; and the University of Washington.
More information on our event page: https://midas.umich.edu/generative-ai-c2c/
Generative AI in Healthcare and Public Health
August 8, 2023
2:00 - 3:30PM Eastern
Speakers:
Mark Dredze, John C Malone Professor of Computer Science, John Hopkins University; Director of Research (Foundations of AI), JHU AI-X Foundry.
Topic: Large Language Models in Medicine: Opportunities and Challenges
Abraham D. Flaxman, Associate Professor of Global Health, Institute for Health Metrics and Evaluation (IHME), University of Washington
Topic: Generative AI in Global Health Metrics: opportunities and risks in natural language processing, AI-assisted data analysis, and simulation modeling
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Generative AI in the Lab
August 23, 2023,
1:00 - 2:30PM Eastern
Speakers:
Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering, the Ohio State University
Topic: Generative AI for Drug Discovery
Arlei Silva, Assistance Professor, Computer Science, Rice University
Topic: Generative Models for Graph Data: Challenges and Opportunities
Registration: https://umich.zoom.us/webinar/register/WN_xoxgdbQmRlWA5_KToOc4bg#/registration
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Policy, Ethics, and Generative AI
August 28, 2023
1:00 - 2:30PM Eastern
Speakers:
Marjory Blumenthal, External Fellow, International Computer Science Institute – University of California, Berkeley
Merve Hickok, School of Information – University of Michigan; President, Center for AI & Digital Policy; Founder, AIethicist.org
Registration: https://umich.zoom.us/webinar/register/WN_7sjViomvRQajFdyn0XNczQ#/registration
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An Under the Hood Look at Generative AI: Potentials and Pitfalls
August 31, 2023
3:00 - 4:30 PM Eastern
Speakers:
David Evan Harris, Senior Research Fellow, International Computer Science Institute – University of California, Berkeley
Topic: Generative AI – What Could go wrong?
Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; University of Michigan
Topic: Moving beyond one-size-fits-all in generative AI
Registration: https://umich.zoom.us/webinar/register/WN_VeUcghN0T8GOsgo8vau0kA#/registration
Join us to hear from prominent researchers who are using Generative AI to accelerate their research, and their thoughts on ethical and technical issues with Generative AI when used in research.
Each webinar will include extensive audience discussion time.
Participating institutions include Johns Hopkins University; the Ohio State University; Rice University; the International Computer Science Institute at the University of California, Berkeley; University of Michigan; and the University of Washington.
More information on our event page: https://midas.umich.edu/generative-ai-c2c/
Generative AI in Healthcare and Public Health
August 8, 2023
2:00 - 3:30PM Eastern
Speakers:
Mark Dredze, John C Malone Professor of Computer Science, John Hopkins University; Director of Research (Foundations of AI), JHU AI-X Foundry.
Topic: Large Language Models in Medicine: Opportunities and Challenges
Abraham D. Flaxman, Associate Professor of Global Health, Institute for Health Metrics and Evaluation (IHME), University of Washington
Topic: Generative AI in Global Health Metrics: opportunities and risks in natural language processing, AI-assisted data analysis, and simulation modeling
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Generative AI in the Lab
August 23, 2023,
1:00 - 2:30PM Eastern
Speakers:
Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering, the Ohio State University
Topic: Generative AI for Drug Discovery
Arlei Silva, Assistance Professor, Computer Science, Rice University
Topic: Generative Models for Graph Data: Challenges and Opportunities
Registration: https://umich.zoom.us/webinar/register/WN_xoxgdbQmRlWA5_KToOc4bg#/registration
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Policy, Ethics, and Generative AI
August 28, 2023
1:00 - 2:30PM Eastern
Speakers:
Marjory Blumenthal, External Fellow, International Computer Science Institute – University of California, Berkeley
Merve Hickok, School of Information – University of Michigan; President, Center for AI & Digital Policy; Founder, AIethicist.org
Registration: https://umich.zoom.us/webinar/register/WN_7sjViomvRQajFdyn0XNczQ#/registration
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An Under the Hood Look at Generative AI: Potentials and Pitfalls
August 31, 2023
3:00 - 4:30 PM Eastern
Speakers:
David Evan Harris, Senior Research Fellow, International Computer Science Institute – University of California, Berkeley
Topic: Generative AI – What Could go wrong?
Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; University of Michigan
Topic: Moving beyond one-size-fits-all in generative AI
Registration: https://umich.zoom.us/webinar/register/WN_VeUcghN0T8GOsgo8vau0kA#/registration
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