Artificial intelligence and machines are capable of harm, but not of experiencing punishment.

IF 3.7 1区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Journal of Experimental Psychology: General Pub Date : 2026-10-01 Epub Date: 2026-06-08 DOI:10.1037/xge0001930
Alexander Eng, Kai Chi Yam
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引用次数: 0

Abstract

Algorithms, robots, and artificial intelligence are increasingly making morally salient decisions (e.g., medical triage) and taking actions (e.g., terminate employees). Extant research suggests that we can and do perceive machines to be responsible for moral harm. Unlike human perpetrators, however, we suggest that we do not experience the same level of justice satisfaction after punishing machine perpetrators. Through a series of experimental paradigms, we first show that people do perceive machines as capable of wrongdoings and punish them accordingly (Pilot Study), but that people experience lower levels of justice satisfaction after punishing machines compared to human perpetrators (Study 1). Studies 2 and 3 replicate some of these findings, whereas Study 4 tests two mechanisms that might account for these effects-punishment as communication and punishment as retribution. A final supplemental study explores whether the dissatisfaction from punishing machines would cause people to displace their aggression onto innocent human bystanders. Our findings demonstrate that machines can commit wrongs and that people attempt to punish them, yet such punishment does not consistently restore a sense of justice relative to punishing humans. This pattern underscores the need for further research on how people understand and respond to machine wrongdoing. (PsycInfo Database Record (c) 2026 APA, all rights reserved).

人工智能和机器能够造成伤害,但不会受到惩罚。
算法、机器人和人工智能越来越多地做出道德上突出的决定(例如,医疗分类)和采取行动(例如,解雇员工)。现存的研究表明,我们可以而且确实认为机器对道德伤害负有责任。然而,与人类犯罪者不同的是,我们认为在惩罚机器犯罪者后,我们不会体验到同样程度的正义满足感。通过一系列的实验范式,我们首先表明,人们确实认为机器有能力做坏事,并相应地惩罚它们(试点研究),但与人类肇事者相比,人们在惩罚机器后体验到的正义满意度较低(研究1)。研究2和3重复了其中的一些发现,而研究4测试了两种可能解释这些影响的机制——惩罚作为交流和惩罚作为报应。最后一项补充研究探讨了惩罚机器的不满是否会导致人们将攻击转移到无辜的人类旁观者身上。我们的研究结果表明,机器可能会犯错误,人们试图惩罚它们,但这种惩罚并不总是能恢复与惩罚人类相比的正义感。这种模式强调了人们如何理解和应对机器错误行为的进一步研究的必要性。(PsycInfo数据库记录(c) 2026 APA,版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.20
自引率
4.90%
发文量
300
期刊介绍: The Journal of Experimental Psychology: General publishes articles describing empirical work that bridges the traditional interests of two or more communities of psychology. The work may touch on issues dealt with in JEP: Learning, Memory, and Cognition, JEP: Human Perception and Performance, JEP: Animal Behavior Processes, or JEP: Applied, but may also concern issues in other subdisciplines of psychology, including social processes, developmental processes, psychopathology, neuroscience, or computational modeling. Articles in JEP: General may be longer than the usual journal publication if necessary, but shorter articles that bridge subdisciplines will also be considered.
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