Public Perception of Artificial Intelligence

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Abstract

The article is dedicated to a largely unexplored topic in domestic academic literature – the public’s attitude toward artificial intelligence (AI). The relevance of the subject is driven by the rapid development and swift penetration of AI into all spheres of human life. The successful implementation of new technologies depends, among other factors, on whether individuals understand what they are dealing with and how they assess the potential benefits and risks associated with AI. The article aims, based on the analysis of sociological survey data and foreign sources, to identify similarities and differences in attitudes toward AI at the cross-country level and, if such differences exist, to determine their causes. It is argued that global public opinion on AI is divided: the Wester societies generally take a more cautious stance toward AI and express greater concern over its spread than in developing economies. It is concluded that the level of education and cultural identity play a decisive role in how societies perceive and integrate AI into everyday life.

About the authors

N. V Goffe

Center for Comparative Socio-Economic and Political Studies Primakov National Research Institute of World Economy and International Relations Russian Academy of Sciences (IMEMO)

Author for correspondence.
Email: nina-goffe@yandex.ru
Candidate of Sciences (Economics); Leading Researcher Moscow, Russia

References

  1. Базаркина Д.Ю., Пашенцев Е.Н., Михалевич Е.А. (2024) Регулирование рисков, связанных со злонамеренным использованием искусственного интеллекта в США, ЕС и Китае. Современная Европа. № 6. С. 156-167. doi: 10.31857/S0201708324060147
  2. Капелюшников Р.И. (2025) Искусственный интеллект и проблема сингулярности в экономике. Вопросы экономики. № 5. С. 5-45. DOI: https://doi.org/10.32609/0042-8736-2025-5-5-45
  3. Литвак Н.В., Помозова Н.Б. (2024) Искусственный интеллект в политике ЕС и КНР. Современная Европа. № 4. C. 30-44. doi: 10.31857/S020170832404003X
  4. Ясин М.И. (2022a). Представления молодежи об искусственном интеллекте и отношение к нему. Известия Саратовского университета. Новая серия. Серия: Философия. Психология. Педагогика. Т. 22. Вып. 2. С. 197-201. DOI: https://doi.org/10.18500/1819-7671-2022-22-2-197-201
  5. Ясин М.И. (2022b) Отношение к искусственному интеллекту, тревога и открытость опыту. Известия Саратовского университета. Новая серия. Серия: Философия. Психология. Педагогика. Т. 22. Вып. 4. С. 449-453. DOI: https://doi.org/10.18500/1819-7671-2022-22-4-449-453
  6. Castelo N., Bos M.W., Lehmann D.R. (2019) Task-Dependent Algorithm Aversion. Journal of Marketing Research. Vol. 56. No. 5. P. 809-825. DOI: https://doi.org/10.1177/0022243719851788
  7. Barnes A.J., Zhang Y., Valenzuela A. (2024) AI and culture: Culturally dependent responses to AI systems. Current Opinion in Psychology. Vol. 58. 101838. DOI: https://doi.org/10.1016/j.copsyc.2024.101838
  8. Gerlich M. (2025) AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking. Societies. Vol. 15. No. 1. doi: 10.3390/soc15010006
  9. Gillespie N., Lockey S., Curtis C., Pool J., Akbari A. (2023) Trust in Artificial Intelligence: a Global Study. The University of Queensland, N.Y., USA, The University of Queensland, Brisbane, Australia. 80 p. DOI: https://doi.org/10.14264/00d3c94
  10. Kelly S., Kaye Sh-A., Oviedo-Trespalacios O. (2023) What factors contribute to the acceptance of artificial intelligence? A systematic review. Telematics and Informatics. Vol. 77. 101925. DOI: https/doi.org/10.1016/j.tele.2022.101925
  11. Minton E.A., Kaplan B., Cabano F.G. (2022) The influence of religiosity on consumers' evaluations of brands using artificial intelligence. Psychology and Marketing. Vol. 39. No. 11. P. 2055-2071. DOI: https://doi.org/10.1002/mar.21727
  12. Yam K.C., Tan T., Jackson J.C., Shariff A., Gray K. (2023) Differences in People’s Reactions and Applications of Robots, Algorithms, and Artificial Intelligence. Management and Organization Review. Vol. 19. No. 5. P. 859-875. doi: 10.1017/mor.2023.21
  13. Tully S.M., Longoni Ch., Appelet G. (2025) Lower Artificial Intelligence Literacy Predicts Greater AI Receptivity. Journal of Marketing. Vol. 89. Issue 5. DOI: https://doi.org/10.1177/00222429251314491

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