Perceptions of Justice: Assessing the Perceived Effectiveness of Punishments by Artificial Intelligence versus Human Judges

Gilles Grolleau (), Murat Mungan and Naoufel Mzoughi ()
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Gilles Grolleau: ESSCA School of Management Lyon
Murat Mungan: Texas A&M University – School of Law
Naoufel Mzoughi: ECODEVELOPPEMENT - Ecodéveloppement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement

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Abstract: Using an original experimental survey, we analyze how people perceive punishments generated by artificial intelligence (AI) compared to the same punishments generated by a human judge. We use two vignettes pertaining to two different albeit relatively common illegal behaviors, namely not picking up one's dog waste on public roads and setting fire in dry areas.In general, participants perceived AI judgements as having a larger deterrence effect compared to the those rendered by a judge. However, when we analyzed each scenario separately, we found that the differential effect of AI is only significant in the first scenario. We discuss the implications of these findings

Keywords: Artificial intelligence; AI; Judges; Punishments; Unethical acts; Wrongdoings (search for similar items in EconPapers)
Date: 2025
New Economics Papers: this item is included in nep-ain, nep-cmp, nep-exp and nep-law
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Published in Review of Law and Economics, inPress, pp.1-28. ⟨10.2139/ssrn.5053375⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04854067

DOI: 10.2139/ssrn.5053375

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