Responsible Machine Learning Summit 2022 | UCSB Center for Responsible Machine Learning - University of California, Santa Barbara

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UC Santa Barbara

October 7, 2022

Location: Henley Hall 1^st 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

8:30am	Welcome Mixer
9:00am	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
9:15am	Opening Keynote: Miguel Eckstein Director, Mellichamp Initiative in Mind and Machine Intelligence and Mellichamp Professor of Psychological and Brain Sciences Session Chair: William Wang
10:00am	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
11:30am	Lunch break
12:15pm	Afternoon Keynote: B.S. Manjunath Distinguished Professor and Chair, Electrical and Computer Engineering Session Chair: Yu-Xiang Wang
1:00pm	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
3:00pm	Break
3:15pm	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
4:30pm	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
5:20pm	Summary, closing remarks and adjourn

Sponsored by the Center for Responsible Machine Learning, the Mellichamp Initiative in Mind and Machine Intelligence, Amazon Alexa AI, and AppFolio

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