arXiv:2611.05549v1 Announce Type: new 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.
Artificial Intelligence · 2026-11-05
Whose Transparency is it Anyway? Understanding Generative AI Transparency Needs and Gaps Across Stakeholders
arXiv:2611.05549v1 Announce Type: new 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.
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