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

Author

Listed:
  • Gilles Grolleau

    (ESSCA School of Management Lyon)

  • Murat C 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)

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

Suggested Citation

  • Gilles Grolleau & Murat C Mungan & Naoufel Mzoughi, 2025. "Perceptions of Justice: Assessing the Perceived Effectiveness of Punishments by Artificial Intelligence versus Human Judges," Post-Print hal-04854067, HAL.
    • Handle: RePEc:hal:journl:hal-04854067
    DOI: 10.2139/ssrn.5053375
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-04854067v1
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    References listed on IDEAS

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