Научно-практический журнал «Личность: ресурсы и потенциал» | Выпуск №4 (20) 2023

This article analyzes the cross-cultural determinants of trust in artificial intelligence systems within Russian and Southeast Asian socio-cultural contexts. The study aims to identify the socio-psychological mechanisms underlying the formation of trust in artificial intelligence and to examine their cultural conditionality. The methodological framework includes theoretical analysis, systematization, and synthesis of academic literature, as well as a comparative analysis of approaches to trust within human-AI interaction using G. Hofstede’s cultural dimensions theory and F. Davis’s Extended Technology Acceptance Model (TAM2/TAM3). The research identifies two dominant trust patterns: a functional-pragmatic pattern (Russia) and a relational-harmonizing pattern (Southeast Asian countries), which differ regarding the roles of uncertainty, institutional factors, and social norms. Furthermore, the concept of «cultural calibration of algorithms» is proposed. The theoretical significance of the study lies in advancing the cross-cultural approach to technology trust, while its practical value stems from the application of the findings in developing culturally adaptive artificial intelligence systems.

Key words
• artificial intelligence • cross-cultural psychology • technology trust • cultural dimensions • Russia • Southeast Asian countries • algorithmic ethics •

Makarochkina Nataliia Viktorovna
Postgraduate Student of Department of Personality Psychology in Management Systems, FEDM GSPM, Presidential Academy, Moscow, Russian Federation
e-mail: nama67@mail.ru
RSCI SPIN code: 5033-8455


Scientific Supervisor:
Ovsyanik Olga Alexandrovna
Doctor of Psychology, Professor, Professor of the Department of Personality Psychology in Management Systems, FEDM GSPM, Presidential Academy, Moscow, Russian Federation
e-mail: ovsianik@mail.ru
RSCI SPIN code: 7718-3237
ORCID: 0000-0003-0274-1702