Modeling Humans in Collaborative AI Systems

Friday, July 10, 2020, 12:30 pm - 1:30 pm PDTiCal
This event is open to the public.
AI Seminar
Shiwali Mohan, PARC
Video Recording:
Abstract: As AI algorithms and technologies become reliable and robust, they are being employed in a variety of domains to solve complex problems in transportation, health, education, banking, etc. Not surprisingly, the questions related to relationships between intelligent agents or systems and humans have taken center stage in AI research. While human-agent interaction research has made some useful strides towards natural interactive interfaces for AI systems, it crucially misses a challenge that is critical for robust human-agent collaboration - modeling, learning, and reasoning about the human. In this talk, I will characterize the space of human-agent collaboration to develop an understanding of various modeling needs. I will ground the discussion in various AI systems projects that have worked on in the past few years including interactive task learning for robots, intelligent planning for sustainable transport, and intelligent scaffolds for health and well being. I will summarize our approach to building such systems with a focus on the challenges of evaluating collaborative human-AI technology. I will conclude the talk with lessons learned and an outlook for future work as well as a brief summary of exciting new DARPA projects at PARC.
Bio: Shiwali Mohan is an AI systems researcher. She studies how to design and evaluate human-aware AI systems - systems that model and reason about their human collaborators. She is especially interested in methods that facilitate robust human-agent collaborative behavior in real-world settings. Her research is inter-disciplinary and often leverages insights about human behavior from cognitive science, psychology, linguistics, and economics. She has designed intelligent collaborative agents for a variety of application domains including general-purpose robots, preventive healthcare and wellbeing, sustainable transportation, and augmented reality. She is particularly motivated to build intelligent collaborative technology for social good and public welfare.
Shiwali was born and brought up in northern India. She has a bachelor's in instrumentation and control engineering from Delhi University. Shiwali received her Ph.D. in computer science in 2015 from the University of Michigan, Ann Arbor where she was part of the Soar cognitive architecture group. She joined the Palo Alto Research Center in 2014 as a postdoc and is currently a Senior Member of Research Staff. In her free time, Shiwali loves to dance and is learning contemporary fusion dance forms.
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