Reif Jessica A, Larrick Richard P, Soll Jack B
Fuqua School of Business, Management & Organizations, Duke University, Durham, NC 27701.
Proc Natl Acad Sci U S A. 2025 May 13;122(19):e2426766122. doi: 10.1073/pnas.2426766122. Epub 2025 May 8.
Despite the rapid proliferation of AI tools, we know little about how people who use them are perceived by others. Drawing on theories of attribution and impression management, we propose that people believe they will be evaluated negatively by others for using AI tools and that this belief is justified. We examine these predictions in four preregistered experiments (N = 4,439) and find that people who use AI at work anticipate and receive negative evaluations regarding their competence and motivation. Further, we find evidence that these social evaluations affect assessments of job candidates. Our findings reveal a dilemma for people considering adopting AI tools: Although AI can enhance productivity, its use carries social costs.
尽管人工智能工具迅速普及,但我们对使用这些工具的人在他人眼中的形象却知之甚少。基于归因理论和印象管理理论,我们提出,人们认为他人会因他们使用人工智能工具而对其做出负面评价,而且这种看法是有道理的。我们在四项预先注册的实验(N = 4,439)中检验了这些预测,发现工作中使用人工智能的人预计并收到了关于其能力和动机的负面评价。此外,我们发现有证据表明,这些社会评价会影响对求职者的评估。我们的研究结果揭示了考虑采用人工智能工具的人所面临的一个困境:尽管人工智能可以提高生产力,但其使用会带来社会成本。