心理学
提交
惩罚(心理学)
经济正义
侵略
突出
社会心理学
现存分类群
替罪羊
人为因素与人体工程学
人权
毒物控制
认知心理学
人工智能
人类行为
自杀预防
人类智力
惯例
刑事司法
犯罪学
认知
作者
Alexander Eng,Kai Chi Yam
摘要
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).
科研通智能强力驱动
Strongly Powered by AbleSci AI