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Perspectives on Public Management and Governance
Article . 2025 . Peer-reviewed
License: OUP Standard Publication Reuse
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Chatbot Democracy

Authors: Nicholas Croce;

Chatbot Democracy

Abstract

Abstract What will be the role of chatbots in 21st century democratic processes? Considering the potential implementations of artificial intelligence (AI) “chatbots” or large language models (LLMs) with a natural language processing (NLP) interface for use in public administration, policy-making, and deliberative democratic processes, this essay explores representative and access-boosting roles for such chatbots: how they could supplement constituent services, increase access to government programs, facilitate deliberation, and perhaps even act as posthuman representatives within a deliberative democratic process. The essay reviews the burgeoning, multi-disciplinary academic literature dealing with the use of chatbots in both government and deliberative contexts—literature that probes questions of utility, representational ethics, equity and access. The essay concludes with an itinerary for further thinking and research, emphasizing the importance of both impact and formative evaluation.

Country
United States
Related Organizations
Keywords

Artificial Intelligence and Robotics, 330, Communication Technology and New Media, Artificial Intelligence (AI), public administration, natural language processing, Other Political Science, Interpersonal and Small Group Communication, Science and Technology Studies, deliberative democracy, generative chatbots in government

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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