ArticleNature human behaviour2025
Cultural tendencies in generative AI.
Article in Nature human behaviour, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Development of an Equity-Centered Sociotechnical Architecture for Generative AI Integration in Public Health Promotion: Conceptual Framework.Journal of medical Internet research · 2026Article
- When machines misread science: creating guardrails for human and AI interpretation of biomedical research.NPJ digital medicine · 2026Article
- Guidelines needed for the use of AI in the preparation or review of IRB, IBC, and IACUC applications.Accountability in research · 2026Article
- Comparing human and AI emotional evaluations of images: GPT-4o performance across standard, persona, and language-specific prompting strategies.BMC psychology · 2026Article
- AI models as cultural beings: Investigating AI cultural biases and the impact of cultural alignment on human-AI creative collaboration.PNAS nexus · 2026Article
- Conformity to social norm interventions is not amplified in tighter nations.Communications psychology · 2026Article
- AI literacy and psychosocial factors shaping Chinese university students' attitudes and behavioral intentions toward generative AI use.BMC psychology · 2026Article
- From Agents to Governance: Essential AI Skills for Clinicians in the Large Language Model Era.Journal of medical Internet research · 2026Article
- In transit: Cross-cultural differences in international students' constructively aligned learning experience.PloS one · 2026Article
- AI-based interviews and applicant perceptions: insights from China and Pakistan.Frontiers in psychology · 2026Article
- When does working with AI empower or entrap university faculty? A dualistic passion perspective on job crafting.Frontiers in psychology · 2026Article
- Dynamic interactions between physical activity, exercise adherence, and adverse psychological states in Chinese older adults: a cross-lagged network analysis.Frontiers in public health · 2026Article
- Global minds and local contexts: grand challenges and emerging opportunities in cultural psychology.Frontiers in psychology · 2026Article
- Chinese anticipate their country's future to be as bright as their personal future.Frontiers in psychology · 2026Article
- Article
- AI as a partner in assessment: generating situational judgment tests with large language models.BMC psychology · 2025Article
- Performance of large language models ChatGPT and Gemini in child and adolescent psychiatry knowledge assessment.PloS one · 2025Article
- The dynamic relationship between physical activity and psychological well-being in Chinese older adults: a longitudinal cross-lagged panel network analysis.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We show that generative artificial intelligence (AI) models-trained on textual data that are inherently cultural-exhibit cultural tendencies when used in different human languages. Here we focus on two foundational constructs in cultural psychology: social orientation and cognitive style. First, we analyse GPT's responses to a large set of measures in both Chinese and English. When used in Chinese (versus English), GPT exhibits a more interdependent (versus independent) social orientation and a more holistic (versus analytic) cognitive style. Second, we replicate these cultural tendencies in ERNIE, a popular generative AI model in China. Third, we demonstrate the real-world impact of these cultural tendencies. For example, when used in Chinese (versus English), GPT is more likely to recommend advertisements with an interdependent (versus independent) social orientation. Fourth, exploratory analyses suggest that cultural prompts (for example, prompting generative AI to assume the role of a Chinese person) can adjust these cultural tendencies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.