Cultural Dimensions of Artificial Intelligence Adoption: Empirical Insights for Wave 1 from a Multinational Longitudinal Pilot Study
Michelle J. Cummings-Koether, Franziska Durner, Theophile Shyiramunda, Matthias Huemmer

TL;DR
This study explores how cultural factors influence AI adoption and perceptions across nine countries, revealing that language, age, and context significantly shape trust, ethical views, and reliance on AI, with implications for global policy and practice.
Contribution
It provides empirical insights into the cultural dimensions affecting AI adoption, emphasizing the importance of context-specific and ethically aware implementation strategies.
Findings
Language and age significantly influence AI trust and use.
Ethical perceptions of AI vary by domain, with pragmatic and risk concerns.
Cultural factors shape AI adoption patterns and ethical judgments.
Abstract
The swift diffusion of artificial intelligence (AI) raises critical questions about how cultural contexts shape adoption patterns and their consequences for human daily life. This study investigates the cultural dimensions of AI adoption and their influence on cognitive strategies across nine national contexts in Europe, Africa, Asia, and South America. Drawing on survey data from a diverse pilot sample (n = 21) and guided by cross-cultural psychology, digital ethics, and sociotechnical systems theory, we examine how demographic variables (age, gender, professional role) and cultural orientations (language, values, and institutional exposure) mediate perceptions of trust, ethical acceptability, and reliance on AI. Results reveal two key findings: First, cultural factors, particularly language and age, significantly affect AI adoption and perceptions of reliability with older…
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Taxonomy
TopicsAI in Service Interactions · Artificial Intelligence in Healthcare and Education · Ethics and Social Impacts of AI
