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, Department of 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
Session Chair: Timothy Sherwood Professor of Computer Science
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2:50pm
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Break
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3:00pm
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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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4:10pm
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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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5:00pm
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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, and Amazon Alexa AI