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Citizen conceptions of democracy and support for artificial intelligence in government and politics

Bibliographic Data

ID6258486
AuthorsPascal D König (0000-0001-9466-4024, Minda de Gunzburg Center for European Studies Harvard University USA, corresponding author)
Year2023
Volume62
Issue4
Pages1280-1300
Publication date2023-11-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEuropean Journal of Political Research (JOURNAL)
Journal identifiersISSN: 0304-4130 • E-ISSN: 1475-6765
PublisherWiley (PUBLISHER • GB)
DOI10.1111/1475-6765.12570
OpenAlexW4309396846
LanguageEN
Citations received23
References cited69

How much do citizens support artificial intelligence (AI) in government and politics at different levels of decision‐making authority and to what extent is this AI support associated with citizens’ conceptions of democracy? Using original survey data from Germany, the analysis shows that people are overall sceptical toward using AI in the political realm. The findings suggest that how much citizens endorse democracy as liberal democracy as opposed to several of its disfigurations matters for AI support, but only in high‐level politics. While a stronger commitment to liberal democracy is linked to lower support for AI, the findings contradict the idea that a technocratic notion of democracy lies behind greater acceptance of political AI uses. Acceptance is higher only among those holding reductionist conceptions of democracy which embody the idea that whatever works to accommodate people's views and preferences is fine. Populists, in turn, appear to be against AI in political decision making

Democracy · Epistemology · Government (linguistics · Liberal democracy · Political economy · Political efficacy · Political science · Politics · Realm · Reductionism · Representative democracy · Skepticism · Sociology · Technocracy · Hate Speech and Cyberbullying Detection · Law · Philosophy · Populism, Right-Wing Movements · Public Administration · Social Media and Politics

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Unique citing works23
Citations per year7,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 20

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