UC Santa Barbara
October 7, 2022
Location: Henley Hall 1st Floor
This is a free event but we are requiring registration. Please register in advance: https://www.eventbrite.com/e/responsible-machine-learning-summit-2022-tickets-393409718057
Agenda
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8:30am
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Welcome Mixer
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9:00am
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Welcome and Opening Remarks:
Tresa Pollock Interim Dean of Engineering and ALCOA Distinguished Professor, Materials
Pierre Wiltzius Executive Dean of the College of Letters and Science, Susan & Bruce Worster Dean of Science, Professor of Physics
William Wang Director, Center for Responsible Machine Learning and Mellichamp Associate Professor of Artificial Intelligence
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9:15am
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Opening Keynote:
Miguel Eckstein Director, Mellichamp Initiative in Mind and Machine Intelligence and Mellichamp Professor of Psychological and Brain Sciences
Session Chair: William Wang
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10:00am
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ML Foundations:
Sui Tang Assistant Professor of Mathematics
Ruimeng Hu Assistant Professor of Statistics and Applied Probability
Igor Mezic Professor of Mechanical Engineering
Yu-Xiang Wang Co-Director of the Center for Responsible Machine Learning and Eugene Aas Assistant Professor of Computer Science
Session Chair: Mahnoosh Alizadeh Associate Professor, Electrical and Computer Engineering
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11:30am
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Lunch break
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12:15pm
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Afternoon Keynote:
B.S. Manjunath Distinguished Professor and Chair, Electrical and Computer Engineering
Session Chair: Yu-Xiang Wang
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1:00pm
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ML for Science and Engineering:
Lei Li Assistant Professor of Computer Science
Claudio Campagnari Professor and Department Chair, Physics
Sam Daly Professor of Mechanical Engineering
Stephen Wilson Professor and Associate Chair, Materials
Yao Qin Assistant Professor, Electrical and Computer Engineering
Session Chair: Timothy Sherwood Professor of Computer Science
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3:00pm
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Break
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3:15pm
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ML for Arts, Humanities, and Social Sciences:
Simon Todd Assistant Professor of Linguistics
Paul Leonardi Chair and Duca Family Professor of Technology Management
Sarah Rosalena Brady Assistant Professor of Art
Session Chair: Kyle Lewis Department Chair and Professor, Technology Management
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4:30pm
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Breakout Session:
Topic 1: Responsible and Safe Use of AI
Topic 2: Getting the Most of AI, Data, and Foundation Models
Topic 3: Interdisciplinary Collaborations in AI and Machine Learning
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5:20pm
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Summary, closing remarks and adjourn
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Sponsored by the Center for Responsible Machine Learning, the Mellichamp Initiative in Mind and Machine Intelligence, Amazon Alexa AI, and AppFolio