JOURNAL ARTICLE
On consciousness in animals and in artificial intelligence.
Published In: Journal of Neurophysiology, 2026, v. 135, n. 4. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Arshavsky, Yuri I. 3 of 3
Abstract
In recent years, numerous publications have emerged claiming that animals possess consciousness. Moreover, neurophysiological literature has discussed the possible existence of consciousness in artificial intelligence (AI). Both ideas stem from analyses of the behavior of animals and AI systems. Here, I argue that it is impossible to draw conclusions about animal consciousness based solely on their behavior. Addressing the question of animal consciousness requires an understanding of its neuronal mechanisms, and the challenge lies in whether these mechanisms can be understood. Views on this issue diverge widely, ranging from Cartesian dualism, which denies any neuronal mechanisms of consciousness, to the opposing position that consciousness is one of cognitive functions whose underlying mechanisms can be understood. Here, I support the latter view. In contrast, the problem of AI consciousness belongs to the field of computer science rather than neurophysiology. Even if artificial intelligence were to acquire consciousness in the future, it would be an AI-specific form of consciousness bearing little relation to human consciousness. Consequently, insights into the mechanisms underlying AI consciousness are unlikely to advance our understanding of human consciousness. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Neurophysiology. 2026/04, Vol. 135, Issue 4, p1
- Document Type:Article
- Subject Area:History
- Publication Date:2026
- ISSN:0022-3077
- DOI:10.1152/jn.00019.2026
- Accession Number:193201020
- Copyright Statement:Copyright of Journal of Neurophysiology is the property of American Physiological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.