The dark side of AI identity: Investigating when and why AI identity entitles unethical behavior

权利(公平分配) 身份(音乐) 大裂谷 心理学 身份形成 社会心理学 美学 自我概念 计算机科学 哲学 物理 天文 计算机网络
作者
Limei Cao,Chen Chen,Xiaowei Dong,Manyi Wang,Xin Qin
出处
期刊:Computers in Human Behavior [Elsevier BV]
卷期号:143: 107669-107669 被引量:57
标识
DOI:10.1016/j.chb.2023.107669
摘要

With its rapid development and significant benefits, increasingly more organizations have adopted artificial intelligence (AI) and taken various ways to promote employees' AI usage and AI-related support behaviors. As a primary way to promote AI usage and AI-related supportive behaviors, building an AI identity is widely recognized as having beneficial effects on employees' work attitudes and outcomes. Drawing upon role identity theory, we challenge this general conclusion by identifying a potential dark side of AI identity and investigating how and when AI identity promotes unethical behavior. Based on an experiment and a multi-wave field study, we found that AI identity had a positive indirect effect on unethical behavior via psychological entitlement. Furthermore, perceived rarity of AI identity moderated the observed effects—that is, when perceived rarity of AI identity was high, employees with AI identity were more likely to have psychological entitlement, which increased unethical behavior. Taken together, our findings provide new insights into the consequences of AI identity as well as reveal the importance of the rarity of AI identity and psychological entitlement in this process.
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