Responsible Machine Learning Summit 2022

Artificial Intelligence and Machine Learning Research at UC Santa Barbara

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

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, Department of 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 

Session Chair: Timothy Sherwood Professor of Computer Science

   

2:50pm

Break

   

3:00pm

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

   

4:10pm

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

   

5:00pm

Summary, closing remarks and adjourn

 

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