2021 Responsible Machine Learning Summit

AI and Social Good

Friday, October 1st, 9am PDT

Registration: ucsb.zoom.us/webinar/register

The focus of the 2021 Responsible Machine Learning Summit is on artificial intelligence and machine learning for social good. The broad range of topics includes AI and ethics, wildlife protection, social justice, security & privacy, public policy, and global development. Attendance is free but registration is required. Please join the webinar for any of the sessions throughout the day as your schedule permits.

Agenda

• 9:00am   Welcome and Overview
  • Joseph Incandela Vice Chancellor for Research, Distinguished Professor, Yzurdiaga Chair in Experimental Sciences, UC Santa Barbara
  • William Wang Director, Center for Responsible Machine Learning and Mellichamp Associate Professor of Artificial Intelligence, UC Santa Barbara
• 9:10am   Opening Keynote - Human Compatible AI
  • Stuart Russell Professor of Computer Science and Michael H. Smith and Lotfi A. Zadeh Chair in Engineering, UC Berkeley
    • Session Chair: William Wang
• 10:15am   AI, Ethics, and Social & Global Development
  • Trust, AI, and (Societal Values)
    David Danks Professor of Data Science and Philosophy, UC San Diego 
  • Towards Robust, Interpretable, and Fair Social and Public Health Interventions
    Phebe Vayanos Assistant Professor of Industrial and Systems Engineering and Computer Science, USC 
  • Human-Centered Design of Artificial Intelligence Systems for Frontline Health
    Neha Kumar Associate Professor, Sam Nunn School of International Affairs & School of Interactive Computing, Georgia Tech
    • Session Chair: Miriam Metzger Professor, Communication and Information Technologies, UC Santa Barbara
• 11:30am   Panel: AI, Public Policy, and Corporate Social Responsibility
  • Lisa Amini Director, IBM Research Cambridge
  • Rayid Ghani Professor, Machine Learning and Public Policy, Carnegie Mellon University
  • Lorraine Kisselburgh Chair, ACM Technology Policy Council
  • Summer Kim Professor of Law, UC Irvine
    • Session Chair: Miguel Eckstein Director, Mellichamp Initiative in Mind and Machine Intelligence and Professor of Psychological and Brain Sciences, UC Santa Barbara
• 12:30pm   Break
• 1:30pm   Afternoon Keynote - Sample Complexity of (Automated) Mechanism Design
  • Tuomas Sandholm Angel Jordan University Professor of Computer Science, Carnegie Mellon University, Co-Director, CMU AI, Founder and Director, Electronic Marketplaces Laboratory
    • Session Chair Yu-Xiang Wang Co-Director, Center for Responsible Machine Learning and Assistant Professor, Computer Science, UC Santa Barbara
• 2:30pm   AI and Wildlife Conservation
  • Leveraging Machine Learning and Game Theory for Wildlife Conservation
    Fei Fang Assistant Professor, Institute for Software Research, Carnegie Mellon University
  • AI for Oceans
    Douglas McCauley Associate Professor of Ecology, Evolution and Marine Biology at UC Santa Barbara, Director of the Benioff Ocean Initiative
  • Where's the Bear?
    Chandra Krintz Professor and Vice Chair, Computer Science, UC Santa Barbara
    • Session Chair Marion Wittmann Executive Director, UC Santa Barbara Natural Reserve System
• 3:45pm  Conclusion

Registration: ucsb.zoom.us/webinar/register