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  1. What Turing did after he invented the universal Turing machine.Diane Proudfoot & Jack Copeland - 2000 - Journal of Logic, Language and Information 9:491-509.
    Alan Turing anticipated many areas of current research incomputer and cognitive science. This article outlines his contributionsto Artificial Intelligence, connectionism, hypercomputation, andArtificial Life, and also describes Turing's pioneering role in thedevelopment of electronic stored-program digital computers. It locatesthe origins of Artificial Intelligence in postwar Britain. It examinesthe intellectual connections between the work of Turing and ofWittgenstein in respect of their views on cognition, on machineintelligence, and on the relation between provability and truth. Wecriticise widespread and influential misunderstandings of theChurch–Turing thesis (...)
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  • The implications of an externalist theory of rule-following behavior for robot cognition.Diane Proudfoot - 2004 - Minds and Machines 14 (3):283-308.
    Given (1) Wittgensteins externalist analysis of the distinction between following a rule and behaving in accordance with a rule, (2) prima facie connections between rule-following and psychological capacities, and (3) pragmatic issues about training, it follows that most, even all, future artificially intelligent computers and robots will not use language, possess concepts, or reason. This argument suggests that AIs traditional aim of building machines with minds, exemplified in current work on cognitive robotics, is in need of substantial revision.
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  • Anthropomorphism in AI.Arleen Salles, Kathinka Evers & Michele Farisco - 2020 - American Journal of Bioethics Neuroscience 11 (2):88-95.
    AI research is growing rapidly raising various ethical issues related to safety, risks, and other effects widely discussed in the literature. We believe that in order to adequately address those issues and engage in a productive normative discussion it is necessary to examine key concepts and categories. One such category is anthropomorphism. It is a well-known fact that AI’s functionalities and innovations are often anthropomorphized (i.e., described and conceived as characterized by human traits). The general public’s anthropomorphic attitudes and some (...)
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  • Rehabilitating AI: Argument loci and the case for artificial intelligence. [REVIEW]Barbara Warnick - 2004 - Argumentation 18 (2):149-170.
    This article examines argument structures and strategies in pro and con argumentation about the possibility of human-level artificial intelligence (AI) in the near term future. It examines renewed controversy about strong AI that originated in a prominent 1999 book and continued at major conferences and in periodicals, media commentary, and Web-based discussions through 2002. It will be argued that the book made use of implicit, anticipatory refutation to reverse prevailing value hierarchies related to AI. Drawing on Perelman and Olbrechts-Tyteca's (1969) (...)
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  • Visioneering Socio-Technical Innovations — a Missing Piece of the Puzzle.Martin Sand & Christoph Schneider - 2017 - NanoEthics 11 (1):19-29.
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