Whose Voice Counts? Mapping Stakeholder Perspectives on AI Through Public Submissions to the U.S. Government
arXiv:2605.22650v1 Announce Type: new 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
The paper is published as AI systems become increasingly prevalent, necessitating an understanding of diverse public perspectives to inform policy development.
Understanding public sentiment regarding AI is crucial for policymakers to develop regulations and strategies that reflect societal values and anticipate potential impacts.
This research provides a structured method for analyzing public input on AI policy, offering insights into stakeholder concerns and priorities during critical policy-making periods.
- · Policymakers
- · Public opinion researchers
- · AI ethicists
- · Government agencies
- · AI developers ignoring public feedback
- · Advocacy groups misrepresenting public sentiment
Government AI strategies could become more responsive to public concerns as a direct result of such structured analysis.
Increased public trust or distrust in AI development and governance based on perceived responsiveness to these concerns could emerge.
Future AI policy frameworks might incorporate specific mechanisms for continuous public consultation and sentiment analysis.
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Read at arXiv cs.CL