Four preconditions for solving MC4 machine consciousness

Gamez, David ORCID: https://orcid.org/0000-0002-3075-655X (2019) Four preconditions for solving MC4 machine consciousness. In: Towards Conscious AI Systems Symposium co-located with the Association for the Advancement of Artificial Intelligence 2019 Spring Symposium Series (AAAI SSS-19), 25-27 Mar 2019, Stanford University, USA. (doi:urn:nbn:de:0074-2287-2)

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Abstract

A machine is MC4 conscious if it has phenomenal experiences that are comparable to human conscious experiences. From an ethical point of view it is important to know whether we have created MC4 consciousness in a machine. MC4 consciousness research can also contribute to the development of general theories of human consciousness. This paper discusses four problems that have to be solved before we will be able to address MC4 machine consciousness in a systematic way: We need more clarity about the measurement of consciousness, we need better ways of describing the physical world and consciousness, and we need to reach agreement about the final form that a theory of consciousness should take. When these problems have been addressed we will be able to develop scientific theories of consciousness that can make accurate believable predictions about MC4 consciousness in machines.

Item Type: Conference or Workshop Item (Paper)
Research Areas: A. > School of Science and Technology > Computer Science > Artificial Intelligence group
Item ID: 27291
Notes on copyright: D. Gamez: Four Preconditions for Solving MC4 Machine Consciousness. Proceedings of Towards Conscious AI Systems Symposium workshop TOCAIS, Stanford University, USA, March 25-27, 2019, CEUR-WS.org, online http://ceur-ws.org/Vol-2287/paper6.pdf. Copyright © 2018 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.
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Depositing User: David Gamez
Date Deposited: 05 Aug 2019 16:21
Last Modified: 26 Oct 2019 20:38
URI: https://eprints.mdx.ac.uk/id/eprint/27291

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