Computer Science Distinguished Colloquium: Rao Kambhampati, Challenges of Human-Aware AI Systems

Tuesday, September 18, 2018
11:00 a.m.
4172 A.V. Williams Building
Brandi Adams
bkadams@cs.umd.edu

Computer Science Distinguished Colloquium

Challenges of Human-Aware AI Systems

Subbarao (Rao) Kambhampati (CS Ph.D. 1989)
Professor of Computer Science
Arizona State University

Note: Rao is the Computer Science Department's 2018 Alumni Hall of Fame recipient

Abstract
Research in AI suffers from a longstanding ambivalence to humans–swinging as it does, between their replacement and augmentation. Now, as AI technologies enter our everyday lives at an ever increasing pace, there is a greater need for AI systems to work synergistically with humans. To do this effectively, AI systems must pay more atten  tion to aspects of intelligence that helped humans work with each other–including emotional and social intelligence.

I will discuss the research challenges in designing such human-aware AI systems, including modeling the mental states of humans in the loop, recognizing their desires and intentions, providing proactive support, exhibiting explicable behavior, giving cogent explanations on demand, and engendering trust. I will survey the progress made so far on these challenges, and highlight some promising directions. I will also touch on the additional ethical quandaries that such systems pose.

I will end by arguing that the quest for human-aware AI systems broadens the scope of AI enterprise, necessitates and facilitates true inter-disciplinary collaborations, and can go a long way towards increasing public acceptance of AI technologies.

Biography
Subbarao Kambhampati (Rao) is a professor of Computer Science at Arizona State University. He received his B.Tech. in Electrical Engineering (Electronics) from Indian Institute of Technology, Madras (1983), and M.S.(1985) and Ph.D.(1989) in Computer Science (1985, 1989) from the University of Maryland.

Kambhampati studies fundamental problems in planning and decision making, motivated in particular by the challenges of human-aware AI systems.   Kambhampati is a fellow of AAAI and AAAS, and was an NSF Young Investigator. He received multiple teaching awards, including a university last lecture recognition.

Kambhampati served as the President of AAAI and as a trustee of IJCAI.  He was the program chair for IJCAI 2016 , ICAPS 2013, AAAI 2005 and AIPS 2000.  He serves on the board of directors of Partnership on AI. Kambhampati’s research as well as his views on the progress and societal impacts of AI have been featured in multiple national and international media outlets. rakaposhi.eas.asu.edu Twitter @rao2z

Audience: Graduate  Undergraduate  Faculty  Post-Docs 

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