Responsible Machine Learning Summit 2022

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Summit logo
Date
Friday, October 7, 2022 8:00 AM
Location
Henley Hall 1st Floor

Artificial Intelligence and Machine Learning Research at UC Santa Barbara

 

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, Department of Mathematics and Department of Statistics & 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

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, AppFolio, and ScOp Venture Capital