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The Scientific and Practical Challenges of Artificial Intelligence

The popularity of the idea of Artificial Intelligence has created a lot of misconceptions about what it is and is not. Randy will provide an accessible high-level view of some of these misconceptions, including whether the scientific pursuit of AI is about replacing or augmenting humans, where the public perception fails, what the foundational scientific challenges are, and where the immediate high societal value applications are.

Dr. Randy Goebel

Randy Goebel is currently a professor of Computing Science in the Department of Computing Science, adjunct Professor in the Department of Medicine in the Faculty of Medicine and Dentistry, at the University of Alberta. He is also a Fellow and co-founder of the Alberta Machine Intelligence Institute. He received the B.Sc. (Computer Science), M.Sc. (Computing Science), and Ph.D. (Computer Science) from the Universities of Regina, Alberta, and British Columbia, respectively.

Randy has previously held faculty appointments at the University of Waterloo, University of Tokyo, Multimedia University (Kuala Lumpur), Hokkaido University (Sapporo), visiting researcher engagements at National Institute of Informatics (Tokyo), DFKI (Germany), and NICTA (Australia); he is actively involved in collaborative research projects in Canada, Japan, Germany, France, the UK, and China.

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