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) …
Alves-Oliveira, Patrícia (Instituto Universitário de Lisboa) | Freedman, Richard G. (University of Massachusetts Amherst) | Grollman, Dan (Sphero, Inc.) | Herlant, Laura (arnegie Mellon University) | Humphrey, Laura (Air Force Research Laboratory) | Liu, Fei (University of Central Florida) | Mead, Ross (Semio) | Stein, Frank (IBM) | Williams, Tom (Tufts University) | Wilson, Shomir (University of Cincinnati)
Anderson, Michael L. (Franklin &) | Fults, Scott (Marshall College) | Josyula, Darsana P. (University of Maryland) | Oates, Tim (Bowie State University) | Perlis, Don (University of Maryland Baltimore County) | Wilson, Shomir (University of Maryland) | Wright, Dean (University of Maryland)
When things go badly, we notice that something is amiss, figure out what went wrong and why, and attempt to repair the problem. Artificial systems depend on their human designers to program in responses to every eventuality and therefore typically don't even notice when things go wrong, following their programming over the proverbial, and in some cases literal, cliff. This article describes our past and current work on the Meta-Cognitive Loop, a domain-general approach to giving artificial systems the ability to notice, assess, and repair problems. The goal is to make artificial systems more robust and less dependent on their human designers.