Cultural Dimensions of AI Perception: Charting Expectations, Risks, Benefits, Tradeoffs, and Value in Germany and China
Philipp Brauner, Felix Glawe, Gian Luca Liehner, Luisa Vervier, Martina Ziefle

TL;DR
This study explores how cultural differences between Germany and China influence public perceptions of AI, revealing distinct expectations, risk assessments, and perceived benefits that impact AI acceptance and policy considerations.
Contribution
It provides a comparative analysis of cultural perceptions of AI in Germany and China using imaginaries, highlighting how cultural contexts shape expectations and risk-benefit evaluations.
Findings
Chinese participants showed greater optimism about AI benefits.
German participants were more cautious and emphasized risks.
Cultural differences significantly influence AI perception and acceptance.
Abstract
As artificial intelligence (AI) continues to advance, understanding public perceptions -- including biases, risks, and benefits -- is essential for guiding research priorities and AI alignment, shaping public discourse, and informing policy. This exploratory study investigates cultural differences in mental models of AI using 71 imaginaries of AI's potential futures. Drawing on cross-cultural convenience samples from Germany (N=52) and China (N=60), we identify significant differences in expectations, evaluations, and risk-benefit tradeoffs. Participants from Germany generally provided more cautious assessments, whereas participants from China expressed greater optimism regarding AI's societal benefits. Chinese participants exhibited relatively balanced risk-benefit tradeoffs ( for risk and for benefit, ). In contrast, German participants placed…
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Taxonomy
TopicsEthics and Social Impacts of AI · Innovation, Sustainability, Human-Machine Systems
