arXiv cs.CY· Genevieve Smith, Sahiba Chopra, Natalia Luka, Min Kyung Lee·· 11 小时前AI 评分27
生成式 AI 透明度对谁而言？研究揭示不同利益相关者的透明度需求与落差
Whose Transparency is it Anyway? Understanding Generative AI Transparency Needs and Gaps Across Stakeholders
AI 导读
一项覆盖 400 名终端用户、AI 开发者和政策制定者的全球调查发现，三类群体对透明度的理解相近，均聚焦准确性与隐私，但仅 28% 的终端用户认为现有透明度实践很好地反映了其需求，开发者与政策制定者分别为 53% 和 49%。
正文 · 原文
Abstract:Transparency has become a central principle in AI governance, yet there is little agreement about what transparency means, for whom, and in what contexts. Drawing on interpretive flexibility within the Social Construction of Technology, this paper examines how different stakeholders understand and experience transparency in generative AI. This study draws from a global survey of 400 end-users, AI builders, and policymakers, complemented by a structured focus group with end-users, grounding the quantitative findings in qualitative insights from the group most underserved by current transparency practice. We present three key findings. First, all three groups share similar understandings of what transparency means and what it should afford, centered on ensuring accuracy and privacy. Second, gaps between the importance of transparency features and their perceived availability are substantially larger for end-users than builders, revealing how power shapes what gets built and who it serves. Only 28% of end-users report that current transparency practices reflect their needs very well, compared to 53% of builders and 49% of policymakers. Third, transparency is situationally constructed, priorities shift with context and task structure, with role-specific frames activating when context demands them and receding when it does not. We argue that meaningful AI transparency requires moving beyond a one-size-fits-all solution, including current emphases on AI disclosure and static documentation, toward pluralistic transparency infrastructures that reflect the needs of diverse users and stakeholders.
| Subjects: | Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Human-Computer Interaction (cs.HC) |
| Cite as: | arXiv:2611.05549 [cs.AI] |
| (or arXiv:2611.05549v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2611.05549 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Natalia Luka [view email]
[v1]
Tue, 3 Nov 2026 19:40:36 UTC (2,029 KB)
来源：arXiv cs.CY · arxiv.org