THE CONCEPTOSPHERE OF ARTIFICIAL INTELLIGENCE IN RUSSIAN-LANGUAGE DISCOURSE

Authors

  • Yulia I. Bednenko Russian State Humanitarian University

Keywords:

Russian-language discourse, associative experiment, artificial intelligence, semantic module, concept sphere

Abstract

This article presents in detail the results of a free associative experiment aimed at reconstructing the actual perception of the concept of ARTIFICIAL INTELLIGENCE in the everyday linguistic consciousness of Russian speakers. In the course of the research, extensive empirical material was collected and systematized, which made it possible to identify the structure and key components of this concept. A survey was conducted on an online platform where participants had to write down all the associations associated with the phrase “ARTIFICIAL INTELLIGENCE”. The data obtained has been analyzed. As a result of a qualitative analysis of associative series, ten key semantic modules have been identified, which comprehensively reflect the range of social attitudes – from awareness of its potential to deep fears. The analysis allowed us to identify ten key semantic modules that demonstrate different attitudes towards artificial intelligence: positive associations associate it with development and assistance, while negative ones focus on the problems of misinformation and legal uncertainty. Reactions related to the technosphere (robot, computer), which are the material embodiment of an abstract concept, play an important role. Based on the analysis, a reasonable conclusion is drawn about the complex and ambiguous perception of artificial intelligence in the mass consciousness. This perception is a dynamic combination of a rational understanding of the benefits of technology and intuitive concerns about the unpredictability of its development and impact on social institutions and human identity. Thus, the research contributes to understanding how the image of one of the key technologies of our time is formed and structured in the public consciousness.

Published

2025-12-10

Issue

Section

PSYCHOLINGUISTICS