Artificial Intelligence For Social Good

Workshop Report

June 7, 2016

The Willard Intercontinental Hotel
1401 Pennsylvania Avenue Northwest, Washington, D.C., DC, United States

Overview

There has been a dramatically increasing interest in Artificial Intelligence (AI) in recent years. AI has been successfully applied to societal challenge problems and it has a great potential to provide tremendous social good in the future. In this workshop, we discussed the successful deployments and the potential use of AI in various topics that are essential for social good, including but not limited to urban computing, health, environmental sustainability, and public welfare.

You can join the conversation via Twitter using @compcomcon and hashtags #AI4SocialGood and #FutureofAI.

To watch video recordings of the AI for Social Good workshop visit here.

Agenda

June 7, 2016 (Tuesday)

08:30 AM	Welcome David Parkes, Harvard University
08:45 AM	Short Talks and Panel: Urban Computing Dan Hoffman, Montgomery County, Maryland Stephen Smith, Carnegie Mellon University Pascal van Hentenryck, University of Michigan Moderated by Amy Greenwald, Brown Universty
09:35 AM	Short Talks and Panel: Environmental Sustainability Tom Dietterich, Oregon State University Reuben Sarkar, The U.S. Department of Energy Milind Tambe, University of Southern California Tanya Berger Wolf, University of Illinois at Chicago Moderated by Greg Hager, Johns Hopkins University
10:25 AM	BREAK
10:45 AM	Short Talks and Panel: Health Eric Elster, Uniformed Services University of the Health Sciences & the Walter Reed National Military Medical Center Henry Kautz, University of Rochester Suchi Saria, Johns Hopkins University Moderated by David Parkes, Harvard University
11:30 AM	Short Talks and Panel: Public Welfare Roy Austin, White House, Domestic Policy Council Rayid Ghani, University of Chicago Hanna Wallach, Microsoft Research Moderated by Greg Hager, Johns Hopkins University
12:15 PM	LUNCH
12:45 PM	Keynote- Artificial Intelligence in Support of People and Society Eric Horvitz, Microsoft Research (Download PDF to view slides correctly)
01:15 PM	Keynote- AI and Criminal Justice: Challenges and Opportunities Lynn Overmann, The White House Office of Science and Technology Policy
01:45 PM	Adjourn

Speakers

Confirmed Participants

To see speaker biographies, please visit this page.

Eric Horvitz, Microsoft Research Keynote: Artificial Intelligence in Support of People and Society	Lynn Overmann, White House Office of Science and Technology Policy Keynote: AI and Criminal Justice: Challenges and OpportunitiesThis text should be invisible and is here
Roy Austin, White House, Domestic Policy Council Criminal Justice, Civil Rights and Big Data	Tanya Berger-Wolf, University of Illinois at Chicago Crowdsourcing, Computer Vision, and Data Science for Ecology and Conservation
Tom Dietterich, Oregon State University Understanding and Managing Ecosystems through Artificial Intelligence	Eric Elster, Uniformed Services University of the Health Sciences Surgical Critical Care Initiative: Bringing Precision Medicine to the Critically Ill
Dan Hoffman, Montgomery County, Maryland The Interface between People and Their Government	Rayid Ghani, University of Chicago Doing and Teaching Data Science for Social Good: Challenges, Opportunities, and Lessons Learned
Henry Kautz, University of Rochester Mining Social Media for Public Health	Reuben Sarkar, The U.S. Department of Energy Getting SMARTer on Future Mobility and Energy
Suchi Saria, Johns Hopkins University Making ‘Meaningful Use’ Meaningful	Stephen Smith, Carnegie Mellon University Smart Infrastructure for Urban Mobility
Milind Tambe, University of Southern California Green Security: How AI can help protect endagered wildlife, fish, forests	Pascal Van Hentenryck, University of Michigan Reinventing Mobility with Artificial Intelligence
Hanna Wallach, Microsoft Research Big Data, Machine Learning, and the Social Sciences