Technological Unemployment: Fact of Fiction?
Various studies have predicted that the introduction of advanced AI technologies, such as self-driving cars and autonomous virtual assistants, will have a dramatic impact on overall employment. I will discuss the assumptions behind these predictions and several possible paths forward in terms of work-life balance. I will also discuss how the introduction of AI technology appears to be accelerating and the core remaining challenges for AI.
Bart Selman is a Professor of Computer Science at Cornell University. He previously was at AT&T Bell Laboratories. His research interests include computational sustainability, efficient reasoning procedures, planning, knowledge representation, and connections between computer science and statistical physics. He has (co-)authored over 100 publications, including six best paper awards. His papers have appeared in venues spanning Nature, Science, Proc. Natl. Acad. of Sci., and a variety of conferences and journals in AI and Computer Science. He has received the Cornell Stephen Miles Excellence in Teaching Award, the Cornell Outstanding Educator Award, an NSF Career Award, and an Alfred P. Sloan Research Fellowship. He is a Fellow of the American Association for Artificial Intelligence and a Fellow of the American Association for the Advancement of Science.