Understanding the Source of Algorithmic Aversion: An Experimental Approach

Elia Antoniou

University of Cyprus Working Papers in Economics from University of Cyprus Department of Economics

Abstract: This paper examines the source of algorithmic aversion, defined as the unwillingness to accept advice or decisions made by algorithms. Algorithmic aversion is conceptualized as a form of individual partiality, driven either by belief-based factors attributed to differences in perceived ability, or by preference-based factors which reflect a disamenity associated with selecting algorithms. To empirically test the predictions of the model, a preregistered online experiment was conducted, where participants evaluated answers to objective and subjective economic questions, with varying information on whether the source was human or algorithm. The results provide no evidence of algorithmic aversion in the evaluation task: participants did not systematically favor human-generated answers over algorithm-generated ones. These results suggest that algorithmic aversion may not be as robust or uniform as previously assumed.

Keywords: Algorithmic Aversion; Human-AI interaction; Experimental Economics. (search for similar items in EconPapers)
JEL-codes: C91 D83 D90 (search for similar items in EconPapers)
Pages: 53 pages
Date: 2025-11-25
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Persistent link: https://EconPapers.repec.org/RePEc:ucy:cypeua:05-2025

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