arXiv — NLP / Computation & Language · · 3 min read

Whose Voice Counts? Mapping Stakeholder Perspectives on AI Through Public Submissions to the U.S. Government

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Computer Science > Computation and Language

arXiv:2605.22650 (cs)
[Submitted on 21 May 2026]

Title:Whose Voice Counts? Mapping Stakeholder Perspectives on AI Through Public Submissions to the U.S. Government

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Abstract:As artificial intelligence (AI) systems become more common in our daily lives, it is important to understand how different stakeholders comprehend and envisage the role that these technologies play in shaping social, political, and economic realities. In this paper, we investigate public perceptions of AI based on a corpus of letters submitted during the public consultation for the Trump Administration's US AI Action Plan. To this aim, we release a corpus cleaning pipeline and perform topic modelling and frequency analysis to explore predominant topics discussed by different subgroups (e.g., academia, individuals, private sector) and those appearing in the AI Action Plan. Our results show that individuals voice strong concerns related to the impact of AI on life, while other stakeholders are more concerned with AI development. Our comparison of topics suggests that the AI Action Plan reflects predominantly the concerns of the private sector on security, policies, and development, with individuals' concerns less represented.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2605.22650 [cs.CL]
  (or arXiv:2605.22650v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2605.22650
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Alina Karakanta [view email]
[v1] Thu, 21 May 2026 15:54:00 UTC (104 KB)
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