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  4. Rage Against the Machine? AI Use, Threat Perceptions, and Policy Preferences
 
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Rage Against the Machine? AI Use, Threat Perceptions, and Policy Preferences

Type
conference paper
Date Issued
2024-06-28
Author(s)
Matthias Haslberger  
Gingrich, Jane
Bhatia, Jasmine
DOI
https://dx.doi.org/10.2139/ssrn.4876736
Abstract
Scholars interested in the effect of automation on policy preferences have commonly argued that (subjective) risk predicts demand for insurance. Generative AI potentially challenges this dynamic. Based on a pre-registered online experiment with a near-representative sample of 1,041 UK working-age adults we show that direct exposure to generative AI does not increase subjective risk and leads to more positive attitudes towards the technology. Despite this, treated respondents show greater support for progressive social policy and place themselves politically further left, indicating that sociotropic preferences trump self-interest. Text analysis of an open-ended question shows thoughtful engagement with the implications of AI. This article provides a first big-picture investigation of the political implications of generative AI and outlines avenues for further research.
HSG Classification
contribution to scientific community
Refereed
No
Event Title
SASE Conference
Event Location
Limerick
Event Date
28.06.2024
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/121251
File(s)
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open.access

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Rage Against the Machine_160724.pdf

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641.91 KB

Format

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bee0ba3c10452a6664303f08936c450f

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