Title: Cultural Dimensions of Artificial Intelligence Adoption: Empirical Insights for Wave 1 from a Multinational Longitudinal Pilot Study Show Chinese title

Title: 人工智能采纳的文化维度：来自跨国纵向试点研究的第一波实证见解

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 participants reporting higher engagement with AI for educational purposes. Second, ethical judgment about AI use varied across domains, with professional contexts normalizing its role as a pragmatic collaborator while academic settings emphasized risks of plagiarism. These findings extend prior research on culture and technology adoption by demonstrating that AI use is neither universal nor neutral but culturally contingent, domain-specific, and ethically situated. The study highlights implications for AI use in education, professional practice, and global technology policy, pointing at actions that enable usage of AI in a way that is both culturally adaptive and ethically robust. Show Chinese abstract

Abstract: 人工智能（AI）的迅速扩散引发了关于文化背景如何塑造采用模式及其对人类日常生活影响的关键问题。本研究探讨了人工智能采用的文化维度及其对欧洲、非洲、亚洲和南美洲九个国家文化背景下的认知策略的影响。基于一项多样化试点样本（n = 21）的调查数据，并遵循跨文化心理学、数字伦理和社会技术系统理论，我们研究了人口统计变量（年龄、性别、职业角色）和文化取向（语言、价值观和制度接触）如何调节对信任、伦理可接受性和对AI依赖的认知。结果揭示了两个关键发现：首先，文化因素，特别是语言和年龄，显著影响人工智能的采用和对可靠性的认知，年长参与者在教育用途方面报告了更高的参与度。其次，对人工智能使用的伦理判断在不同领域有所不同，在职业环境中将其角色正常化为实用的合作者，而在学术环境中则强调抄袭的风险。这些发现通过展示人工智能的使用既非普遍也非中立，而是文化依赖、领域特定且伦理定位的，扩展了先前关于文化和技术采用的研究。该研究突出了人工智能在教育、专业实践和全球技术政策中的意义，指出了能够以文化适应和伦理稳健的方式使用人工智能的行动。