Machines Who Think : A Personal Inquiry into the History and Prospects of Artificial Intelligence

By C. McMahon, Cli Cfe. 2004

374 citations recorded by the source corpus.

Subfields: Artificial Intelligence, History and Philosophy of Science, Safety Research

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Nathan Ensmenger

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Citations in the corpus

Unmasking Clever Hans predictors and assessing what machines really learn (2019, background): “There is also an interesting phenomenon described in the literature, the AI effect [60], saying that everytime an AI system solves a problem which has been regarded as an intelligence task, e.”
Is chess the drosophila of artificial intelligence? A social history of an algorithm (2012, background): “‘A Ten Year Old Can Beat the Machine–Dreyfus: But the Machine Can Beat Dreyfus’ triumphed the Bulletin of the Association of Computing Machinery’s Special Interest Group in AI, and the so-called ‘Dreyfus affair’ was widely mobilized to deflect criticism of the discipline (McCorduck, 1979).”
The Measure of Intelligence (2019, neutral): “This has been interpreted by McCorduck as an “AI effect” where goalposts move every time progress in AI is made: “every time somebody figured out how to make a computer do somethingplay good checkers, solve simple but relatively informal problemsthere was a chorus of critics to say, ‘that’s not thin”
Emerging Technology and Business Model Innovation: The Case of Artificial Intelligence (2019, background): “The inspiration of artificial intelligence (AI) was to create an autonomous machine capable of human-like thinking [13].”
The Science of Wisdom in a Polarized World: Knowns and Unknowns (2020, background): “Notably, AI is often attributed to those qualities that machine devices have not yet mastered—an observation often described as the Tesler’s Theorem (Hofstadter, 1980, p. 601) or the AI effect (McCorduck, 2004).”
Transparency in artificial intelligence (2020, background): “…since its inception in the 1950s, posing what sometimes is called the “AI effect” or an “odd paradox” (discussed by Stone et al., 2016; see also McCorduck & Cfe, 2004) in the sense that once a problem seen as needing AI has been solved, the application ceases to be perceived as intelligent.”