If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Wollowski, Michael (Rose-Hulman Institute of Technology) | Selkowitz, Robert (Canisius College) | Brown, Laura E. (Michigan Technological Institute) | Goel, Ashok (Georgia Institute of Technology) | Luger, George (University of New Mexico) | Marshall, Jim (Sarah Lawrence College) | Neel, Andrew (Discover Cards) | Neller, Todd (Gettysburg College) | Norvig, Peter (Google)
The field of AI has changed significantly in the past couple of years and will likely continue to do so. Driven by a desire to expose our students to relevant and modern materials, we conducted two surveys, one of AI instructors and one of AI practitioners. The surveys were aimed at gathering infor-mation about the current state of the art of introducing AI as well as gathering input from practitioners in the field on techniques used in practice. In this paper, we present and briefly discuss the responses to those two surveys.
The FLAIRS Artificial Intelligence Education special track is devoted to methods of teaching AI. Its purpose is to provide a forum where AI educators from diverse institutional settings can share resources, innovations, and insights to advance the quality of AI education worldwide. Topics include model assignments, course syllabi, software, or other curricular resources, implementation of the Computing Curricula 2001 Intelligent Systems area, AI classroom techniques or innovations for undergraduate or graduate instruction, intelligent applications for instruction of AI and assessment of such applications, the use of robots or other hands-on equipment for teaching AI, strategies for incorporating AI research into AI courses, strategies for encouraging wider student interest and participation in AI, and descriptions or case studies of successful class projects or other pedagogical experiences.