Comparing AI and human moral reasoning: context-sensitive patterns beyond utilitarian bias

These output patterns reflect complex moral trade-offs and may play a significant role in shaping societal trust and acceptance of AI systems in morally sensitive domains.

Authors

Zahra Fotuhabadi
Amanollah Arghavan
James R. Booth (ORCID: https://orcid.org/0000-0003-3101-5611)
Elyas Barabadi

Institutions

Vanderbilt University (US)
University of Bojnord (IR)
Ferdowsi University of Mashhad (IR)

Publication Details

Journal: Frontiers in Artificial Intelligence
Published: 2026-01-12
DOI: https://doi.org/10.3389/frai.2025.1710410
Primary Topic: Psychology of Moral and Emotional Judgment
Type: article
Field-Weighted Citation Impact: 0.00

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article

Comparing AI and human moral reasoning: context-sensitive patterns beyond utilitarian bias

Zahra Fotuhabadi, Amanollah Arghavan, James R. Booth, Elyas Barabadi

Jan 12, 2026

Frontiers in Artificial Intelligence

Psychology of Moral and Emotional Judgment

article

Comparing AI and human moral reasoning: context-sensitive patterns beyond utilitarian bias

Zahra Fotuhabadi, Amanollah Arghavan, James R. Booth, Elyas Barabadi

January 12, 2026article en

Abstract

These output patterns reflect complex moral trade-offs and may play a significant role in shaping societal trust and acceptance of AI systems in morally sensitive domains.

Frontiers in Artificial IntelligenceVol. 8

Vanderbilt University (US), University of Bojnord (IR), Ferdowsi University of Mashhad (IR)

Peace, Justice and strong institutions

Openalex Percentile: Top 91%

Psychology of Moral and Emotional Judgment

DOI Open Access PDF OpenAlex

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Comparing AI and human moral reasoning: context-sensitive patterns beyond utilitarian bias — Zahra Fotuhabadi, Amanollah Arghavan, et al. · Frontiers in Artificial Intelligence (2026) | TGRS Research Map | TGRS