Functionally Effective Conscious AI Without Suffering
Resource type
Journal Article
Authors/contributors
- Agarwal, A. (Author)
- Edelman, S. (Author)
Title
Functionally Effective Conscious AI Without Suffering
Abstract
Insofar as consciousness has a functional role in facilitating learning and behavioral control, the builders of autonomous Artificial Intelligence (AI) systems are likely to attempt to incorporate it into their designs. The extensive literature on the ethics of AI is concerned with ensuring that AI systems, and especially autonomous conscious ones, behave ethically. In contrast, our focus here is on the rarely discussed complementary aspect of engineering conscious AI: how to avoid condemning such systems, for whose creation we would be solely responsible, to unavoidable suffering brought about by phenomenal self-consciousness. We outline two complementary approaches to this problem, one motivated by a philosophical analysis of the phenomenal self, and the other by certain computational concepts in reinforcement learning.
Publication
Journal of Artificial Intelligence and Consciousness
Volume
07
Issue
01
Pages
39-50
Date
03/2020
Journal Abbr
J. AI. Consci.
Language
en
ISSN
2705-0785, 2705-0793
Accessed
3/7/25, 7:53 AM
Library Catalog
DOI.org (Crossref)
Citation
Agarwal, A., & Edelman, S. (2020). Functionally Effective Conscious AI Without Suffering. Journal of Artificial Intelligence and Consciousness, 07(01), 39–50. https://doi.org/10.1142/S2705078520300030
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