AI-complete

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AI-complete

(artificial intelligence, jargon)

/A-I k*m-pleet'/ (MIT, Stanford: by analogy with "NP-complete") A term used to describe problems or subproblems in artificial intelligence, to indicate that the solution presupposes a solution to the "strong AI problem" (that is, the synthesis of a human-level intelligence). A problem that is AI-complete is, in other words, just too hard.

See also gedanken.

This article is provided by FOLDOC - Free Online Dictionary of Computing (foldoc.org)

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For example, algorithms cannot accurately predict whether a human will find a photograph funny or not, (8) to the point where humor detection is considered an "AI-complete problem." (9) But is some intangible quality that only a human can provide necessary for accurate pathology interpretation?

AlphaGo, Deep Learning, and the Future of the Human Microscopist

Larry Hunter of the University of Colorado proposed biomedicine as a grand challenge for AI, as it is an AI-complete problem with some simplifying features and great potential for profound impact in science and society.