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- W4205501469 abstract "70 years ago Turing (1950, 1952), showcased his famous Imitation Game, which has come to be better known as the Turing Test. It proposed an evaluation procedure of intelligence in machines. The passage of time is perhaps reason enough to prompt the broad question: where do we stand today with regards to assessing intelligence in Artificial Intelligence (AI) systems? In this paper, we first contribute to more conceptual clarity by asking ourselves what AI and intelligence in AI is, and by comparing our answers to the latter to animal and human intelligence. We then aim to grasp the gist of the matter when we revisit Turing's proposal, criticize it, and finally inject basic requirements for a more robust and valid approach to evaluate AI systems in the future. In contrast to the standard Turing Test, which is neither valid nor robust, we propose that a measure or test of (machine) intelligence ought to lead to actionable as well as thriving research. Furthermore, the measure or test should be empirical, specific, relevant, expansive (for the specified scope), repeatable, solvable by exemplars, unpredictable, non-anthropomorphic, and, last but not least, non-binary." @default.
- W4205501469 created "2022-01-25" @default.
- W4205501469 creator A5046846553 @default.
- W4205501469 date "2022-02-01" @default.
- W4205501469 modified "2023-10-05" @default.
- W4205501469 title "Is AI intelligent? An assessment of artificial intelligence, 70 years after Turing" @default.
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- W4205501469 doi "https://doi.org/10.1016/j.techsoc.2022.101893" @default.
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