CAN THE ARTIFICIAL INTELLIGENCE SYSTEM POSSES SELF-CONSCIOUSNESS?
Елена Витальевна Поликарпова, Vadim Misyura
HUMANITIES OF THE SOUTH OF RUSSIA June 29, 2025 DOI: 10.18522/2227-8656.2025.3.2 (opens in new tab) via OpenAlex
Summary
AI-generated from the abstractArtificial intelligence systems, even advanced ones, cannot achieve true self-consciousness because they lack the ethical core that defines human essence. The authors argue that reducing human nature to an information matrix is methodologically incorrect; instead, a person's essence is rooted in a set of ethical principles. AI, as a global social mega-machine of the West, possesses only technical awareness and an imitative nature, making its design fragile. Using a transdisciplinary approach including Klimenko's recurrent theory of self-organization and a geometric method, the study shows that AI remains dependent on natural intelligence and cannot transcend its space-time framework to develop genuine self-awareness.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Keywords | Consciousness Artificial intelligence Cognitive science Computer science Business |
| Key finding | Argues that AI cannot possess self-consciousness because it lacks the ethical principles that form the core of human essence, and that AI systems have only technical awareness, making them fragile. |
Abstract
Objective of the study is a philosophical and methodological analysis of the phenomenon of the actual possibility of self-consciousness emergence in artificial intelligence. Methodological basis of the study. The authors use a transdisciplinary approach that makes it possible to identify an invariant in the spectrum of cognitive practices that confirms the “weak” version of artificial intelligence (AI). The concept of AI as a global social mega-machine of the West is considered, revealing its imitative nature. A. V. Klimenko's recurrent theory of self-organization is used as a methodological basis for the analysis of natural intelligence. The authors also rely on the definition of information as a form of reflected existence of an object, which opens new perspectives in the study of human consciousness and psyche. In addition a geometric approach is applied that integrates the principles of philosophy, mathematics, physics, and chemistry. Results of the study. The authors proceed from the methodological incorrectness of reducing the essence of a person to an information matrix. Because the core of each person's essence, in accordance with the system methodology, is a set of ethical principles. It is revealed that the AI system is based on natural intelligence, adequate to the space-time framework of the world. It is shown that the global social mega-machine of the West has only technical awareness, which makes its design very fragile. Prospects of the study. The authors present a range of methodologies that makes it possible to identify the ability of an AI system to possess self-awareness with all the consequences that follow from this.