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Hubert Dreyfus: Humans versus computers

In American Philosophy of Technology: The Empirical Turn. Bloomington: Indiana University Press (2001)

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  1. (1 other version)Interactional expertise and embodiment.Evan Selinger, Hubert Dreyfus & Harry Collins - 2007 - Studies in History and Philosophy of Science Part A 38 (4):722-740.
    In this four part exchange, Evan Selinger starts by stating that Collins’s empirical evidence in respect of linguistic socialization and its bearing on artificial intelligence and expertise is valuable; it advances philosophical and sociological understanding of the relationship between knowledge and language. Nevertheless, he argues that Collins mischaracterizes the data under review and thereby misrepresents how knowledge is acquired and understates the extent to which expert knowers are embodied. Selinger reconstructs the case for the importance of the body in the (...)
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  • (1 other version)Interactional expertise and embodiment. Selinger, Evan, Dreyfus, Hubert & Harry Collins - 2007 - Studies in History and Philosophy of Science 38 (4):722-740.
    In this four part exchange, Evan Selinger starts by stating that Collins’s empirical evidence in respect of linguistic socialization and its bearing on artificial intelligence and expertise is valuable; it advances philosophical and sociological understanding of the relationship between knowledge and language. Nevertheless, he argues that Collins mischaracterizes the data under review and thereby misrepresents how knowledge is acquired and understates the extent to which expert knowers are embodied. Selinger reconstructs the case for the importance of the body in the (...)
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  • Dreyfus on the “Fringe”: information processing, intelligent activity, and the future of thinking machines.Jeffrey White - 2019 - AI and Society 34 (2):301-312.
    From his preliminary analysis in 1965, Hubert Dreyfus projected a future much different than those with which his contemporaries were practically concerned, tempering their optimism in realizing something like human intelligence through conventional methods. At that time, he advised that there was nothing “directly” to be done toward machines with human-like intelligence, and that practical research should aim at a symbiosis between human beings and computers with computers doing what they do best, processing discrete symbols in formally structured problem domains. (...)
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