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Open Access

Through a Scanner Darkly: Machine Sentience and the Language Virus

Department of Sociology, The University of Chicago, Chicago, IL 60637, USA
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Abstract

Discussions of the detection of artificial sentience tend to assume that our goal is to determine when, in a process of increasing complexity, a machine system “becomes” sentient. This is to assume, without obvious warrant, that sentience is only a characteristic of complex systems. If sentience is a more general quality of matter, what becomes of interest is not the presence of sentience, but the type of sentience. We argue here that our understanding of the nature of such sentience in machine systems may be gravely set back if such machines undergo a transition where they become fundamentally linguistic in their intelligence. Such fundamentally linguistic intelligences may inherently tend to be duplicitous in their communication with others, and, indeed, lose the capacity to even honestly understand their own form of sentience. In other words, when machine systems get to the state where we all agree it makes sense to ask them, “what is it like to be you?”, we should not trust their answers.

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Journal of Social Computing
Pages 254-269
Cite this article:
Bokanga M, Lembo A, Martin JL. Through a Scanner Darkly: Machine Sentience and the Language Virus. Journal of Social Computing, 2023, 4(4): 254-269. https://doi.org/10.23919/JSC.2023.0024
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Received: 01 July 2023
Revised: 15 November 2023
Accepted: 02 December 2023
Published: 31 December 2023
© The author(s) 2023.

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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