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Why Computers Can’t Feel Pain
Resource type
Journal Article
Author/contributor
- Bishop, Mark (Author)
Title
Why Computers Can’t Feel Pain
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.
Publication
Minds and Machines
Date
2009-11-01
Volume
19
Issue
4
Pages
507-516
Journal Abbr
Minds & Machines
Accessed
3/18/25, 7:49 AM
ISSN
1572-8641
Language
en
Library Catalog
Springer Link
Citation
Bishop, M. (2009). Why Computers Can’t Feel Pain. Minds and Machines, 19(4), 507–516. https://doi.org/10.1007/s11023-009-9173-3
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