Lying, computers and self-awareness

Author:

Castro Paulo1

Affiliation:

1. Centre for the Philosophy of Science of the University of Lisbon

Abstract

Abstract From the initial analysis of John Morris in 1976 about if computers can lie, I have presented my own treatment of the problem using what can be called a computational lying procedure. One that uses two Turing Machines. From there, I have argued that such a procedure cannot be implemented in a Turing Machine alone. A fundamental difficulty arises, concerning the computational representation of the self-knowledge a machine should have about the fact that it is lying. Contrary to Morris’ claim, I have thus suggested that computers – as far as they are Turing Machines – cannot lie. Consequently, I have claimed that moral agency attribution to a robot or any other automated AI system, cannot be made, strictly grounded on imitating behaviors. Self-awareness as an ontological grounding for moral attribution must be evoked. This can pose a recognition problem from our part, should the sentient system be the only agent capable of acknowledging its own sentience.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

Reference24 articles.

1. Baars, B. J. (2001). In the Theater of Consciousness: The Workspace of the Mind (New Ed edition). Oxford University Press.

2. Blum, M. (2018, August 31). Towards a Conscious AI: A Computer Architecture Inspired by Neuroscience [Text]. EECS at UC Berkeley. https://eecs.berkeley.edu/turing-colloquium/schedule/blum

3. Blum, L., & Blum, M. (1975). Toward a Mathematical Theory of Inductive Inference. Inf. Control., 28, 125-155.

4. Boolos, G., &. Jeffrey, R. (1989). Computability and Logic. 3rd ed. Cambridge University Press.

5. Burgin M (1983) Inductive Turing machines. Not Acad Sci USSR 270(6):1289–1293. translated from Russian, v. 27, No. 3

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