Why Computers Can't Feel Pain

  • Authors:
  • Mark Bishop

  • Affiliations:
  • Department of Computing, Goldsmiths College, University of London, London, UK

  • Venue:
  • Minds and Machines
  • Year:
  • 2009

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Abstract

The most cursory examination of the history of artificial intelligence highlights numerous egregious claims of its researchers, especially in relation to a populist form of `strong' computationalism which holds that any suitably programmed computer instantiates genuine conscious mental states purely in virtue of carrying out a specific series of computations. The argument presented herein is a simple development of that originally presented in Putnam's (Representation & Reality, Bradford Books, Cambridge in 1988) monograph, "Representation & Reality", which if correct, has important implications for turing machine functionalism and the prospect of `conscious' machines. In the paper, instead of seeking to develop Putnam's claim that, "everything implements every finite state automata", I will try to establish the weaker result that, "everything implements the specific machine Q on a particular input set (x)". Then, equating Q (x) to any putative AI program, I will show that conceding the `strong AI' thesis for Q (crediting it with mental states and consciousness) opens the door to a vicious form of panpsychism whereby all open systems, (e.g. grass, rocks etc.), must instantiate conscious experience and hence that disembodied minds lurk everywhere.