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Why Current A.I. Can’t Be Conscious: It’s not about predictive processing or the free energy principle; it’s about the lack of self-organization and multiscale complexity that enable adaptability
Resource type
Journal Article
Author/contributor
- Silberstein, Michael (Author)
Title
Why Current A.I. Can’t Be Conscious: It’s not about predictive processing or the free energy principle; it’s about the lack of self-organization and multiscale complexity that enable adaptability
Abstract
A.I. isn’t conscious because consciousness requires properties that only biological agents possess, which A.I. lacks. What A.I. lacks that is relevant for consciousness is not predictive processing or the minimization of free energy. A.I. lacks embodiment, direct coupling with the environment, multiscale complexity, and self-organization, e.g., plasticity, degeneracy, robustness, and the properties that enable living organisms to be highly adaptive to environmental changes.
Publication
Behavioral and Brain Sciences
Date
2026/01
Volume
49
Pages
e363
Accessed
9/28/26, 7:06 AM
ISSN
0140-525X, 1469-1825
Short Title
Why Current A.I. Can’t Be Conscious
Language
en
Library Catalog
Cambridge University Press
Citation
Silberstein, M. (2026). Why Current A.I. Can’t Be Conscious: It’s not about predictive processing or the free energy principle; it’s about the lack of self-organization and multiscale complexity that enable adaptability. Behavioral and Brain Sciences, 49, e363. https://doi.org/10.1017/S0140525X25103610
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