SP CoSI Lecture: AI for Social Impact
Tuesday, December 03, 2019 to 7:30pm
Sidney Pacific Graduate Residence, MP Room 70 Pacific Street, Cambridge, MA
AI for Social Impact: Learning and Planning in the Data-to-Deployment Pipeline
Refreshments and dinner are provided! Please RSVP here:
With the maturing of AI and multiagent systems research, we have a tremendous opportunity to direct these advances towards addressing complex societal problems. We focus on the problems of public safety and security, wildlife conservation, and public health in low-resource communities, and present research advances in multiagent systems to address one key cross-cutting challenge: how to effectively deploy our limited intervention resources in these problem domains. We present case studies from our deployments around the world as well as lessons learned that we hope are of use to researchers who are interested in AI for Social Impact. In pushing this research agenda, we believe AI can indeed play an important role in fighting social injustice and improving society.
Milind Tambe is Gordon McKay Professor of Computer Science and Director of Center for Research in Computation and Society at Harvard University; concurrently, he is also Director "AI for Social Good" at Google Research India. Prof. Tambe's research focuses on advancing AI and multiagent systems research for Social Good. He is a recipient of the IJCAI John McCarthy Award, ACM/SIGAI Autonomous Agents Research Award, AAAI Robert S Engelmore Memorial Lecture award and the International Foundation for Agents and Multiagent Systems influential paper award; he is also a fellow of AAAI and ACM. For his research in and pioneering real-world deployment of security games, Prof. Tambe has received the INFORMS Wagner prize, the Rist Prize of the Military Operations Research Society, the Christopher Columbus Fellowship Foundation Homeland security award, as well as Commendations from the US Coast Guard, LA Airport Police, and US Federal Air Marshals Service. Prof. Tambe received his Ph.D. from the School of Computer Science at Carnegie Mellon University.