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Recognition without obligation

AI, asset position, and the limits of structural explanations

Bibliographic Data

ID24242475
AuthorsYookyung Lee (0000-0003-3722-8407), Seungwoo Han (0000-0003-4180-6169)
Year2026
Pages1-17
Publication date2026-10-22
Open AccessNo
TypeARTICLE
VenueJournal of Information Technology & Politics (JOURNAL)
Journal identifiersISSN: 1933-169X • E-ISSN: 1933-1681
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/19331681.2026.2752114
OpenAlexW7223283328
LanguageEN
References cited67

This study examines whether structural explanations shape domains of political evaluation and whether their effects vary by informational source and asset position. Using a survey experiment, it distinguishes among structural attribution, public responsibility, and policy support. Structural explanations shift causal attribution under both human and AI sources, but source-dependent differences emerge for responsibility and policy support. These source-dependent differences vary by asset position and are largest for policies with explicit fiscal implications. The findings show that the political effects of structural explanations depend on the evaluation being made, the source to which the explanation is attributed, and respondents’ material position.

asset position · recognition · Social stratification · structural explanations · technology adoption · Artificial Intelligence · Critical Theory and Philosophy · Ethics and Social Impacts of AI · Explainable Artificial Intelligence (XAI

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Highly citedNo
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