arXiv cs.CY· Iulian Lucau, Adelin-George Voicu, Simon Munk Christensen·· 11 小时前AI 评分27
丹麦与罗马尼亚生成式 AI 使用率悬殊但信任度相近
Uneven Use, Similar Trust Generative AI in Denmark and Romania
AI 导读
一项对比丹麦与罗马尼亚的研究发现，2025 年丹麦 16-74 岁人群过去三个月生成式 AI 使用率达 48.4%，罗马尼亚仅 17.8%，但罗马尼亚人对 AI 的信任不亚于甚至略高于丹麦人。尽管丹麦在政府、议会和司法系统信任上领先 28 至 45 个百分点，两国 AI 信任差距并未随使用率拉开。研究认为使用差异更可能源于数字技能与工作教育场景机会的差距，而非信任差异。
正文
Abstract:Generative AI (GenAI) has spread unevenly across Europe, and it is unclear whether higher use brings higher trust. This paper compares Denmark and Romania, the EU's highest and lowest GenAI users, and asks whether the difference in public and institutional trust between them corresponds to the difference in trust in AI. Drawing on trust, technology-acceptance and digital-divide theory, it is a descriptive, contrasting-case analysis of harmonised data: GenAI usage comes from Eurostat, trust in AI more generally from the KPMG/Melbourne global study and public and institutional trust from the Standard Eurobarometer. In 2025, 48.4% of Danes aged 16-74 had used GenAI in the past three months, against 17.8% of Romanians. Use falls with age and rises with education in both countries, and the relative gaps are far larger in Romania; the patterns remain visible within the published age-by-education categories. Trust in AI does not follow usage: Romanians trust AI as much as Danes or slightly more, although Denmark leads by 28 to 45 percentage points on trust in government, parliament and the legal system. The Denmark-Romania comparison thus does not support a simple country-level correspondence between general institutional trust and trust in AI; in KPMG's pooled model, trust in AI is tied most closely to confidence in AI governance. The observed usage difference is more consistent with disparities in general digital skills and opportunities for work- and education-related use than with differences in trust. However, the available data cannot identify the independent effects of these factors. The results rest on two cases and non-identical constructs, and call for comparable microdata and disclosure experiments.
| Subjects: | Computers and Society (cs.CY) |
| Cite as: | arXiv:2610.37348 [cs.CY] |
| (or arXiv:2610.37348v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2610.37348 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Iulian Lucau [view email]
[v1]
Tue, 27 Oct 2026 14:50:58 UTC (642 KB)
来源：arXiv cs.CY · arxiv.org