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Demographic Factor of Artificial Intelligence Perception

https://doi.org/10.47619/2713-2617.zm.2026.v.7i2;155-161

Abstract

Introduction. The article examines the influence of demographic factors on perception of artificial intelligence (AI) technologies. The relevance of the study comes from the fact that public acceptance of AI depends not only on the characteristics of the technologies themselves but also on the socio-demographic characteristics of various population groups. The aim is to reveal the role the demographic factor plays in the perception of artificial intelligence technologies. Materials and methods. The study is both theoretical and analytical in nature. International sociological surveys and modern academic publications on public perception of AI are used as an empirical basis. The methodological basis includes comparative analysis, and scientific generalization and interpretation of secondary data, which allowed to compare the results of mass research and scientific research, revealing the influence of demographic characteristics on attitudes towards AI. Results. The study finds that perceptions of AI vary significantly by demographic parameters. The most pronounced differences are related to age: younger groups tend to show a higher level of awareness, engagement, and willingness to use AI, while older age groups are more wary and less confident technology-wise. Sex and education level also influence the level of trust in AI, as well as the perception of its risks and benefits, while socio-economic status either increases or decreases the digital environment involvement. Demographic variables do not act in isolation but combine with digital experience, AI competence, and professional context. Conclusion. It is necessary to take the demographic heterogeneity into account in order to develop effective strategies for public outreach, AI literacy development, and a more sustainable introduction of artificial intelligence technologies.

About the Authors

E. V. Malinovich
N.A. Semashko National Research Institute of Public Health
Russian Federation

Evgeniya V. Malinovich – Applicant, Department of Economics and Sociology of Healthcare, N.A. Semashko National Research Institute of Public Health.

12, Vorontsovo Pole ul., Moscow, 105064



Y. P. Dovgyallo
Institute of Economics and Demography of the National Academy of Sciences of Tajikistan
Tajikistan

Yana P. Dovgyallo – Cand. Sci. in Economics, Leading Researcher, Institute of Economics and Demography of the National Academy of Sciences of Tajikistan.

44, Sadriddin Ayni ul., Dushanbe, 734024



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For citations:


Malinovich E.V., Dovgyallo Y.P. Demographic Factor of Artificial Intelligence Perception. City Healthcare. 2026;7(2):155-161. (In Russ.) https://doi.org/10.47619/2713-2617.zm.2026.v.7i2;155-161

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ISSN 2713-2617 (Online)