Cheong Ilyung, Huh Young Eun, Puntoni Stefano
School of Business and Technology Management, Korea Advanced Institute of Science and Technology, 291 Daehak-ro Yuseong-gu, Daejeon, South Korea.
Trinity Business School, Trinity College Dublin, College Green, Dublin, Ireland.
Sci Rep. 2025 Jul 13;15(1):25317. doi: 10.1038/s41598-025-10358-7.
Artificial intelligence (AI) is revolutionizing talent acquisition, with organizations increasingly replacing humans with AI technologies in personnel selection processes. Field studies of nurses provide preliminary evidence that AI can outperform humans in predicting interpersonal skills. However, a series of surveys and experiments document widespread lay beliefs in the opposite direction: individuals perceive AI as being less capable than humans in assessing interpersonal skills. This effect was not observed for analytical skills, suggesting that the results stem from lay beliefs about the suitability of AI in interpersonal contexts and not from a generalized aversion to algorithms. These lay beliefs bias managers' perceptions of employees: managers were less likely to assign tasks requiring interpersonal skills to AI-selected (vs. human-selected) employees. Additionally, applicants reported reducing their emphasis on interpersonal (vs. analytical) skills during AI (vs. human) selection processes. Informing participants about advanced AI selection technologies reduced negative lay beliefs about AI performance in the interpersonal domains.
人工智能(AI)正在彻底改变人才招聘方式,各组织在人员选拔过程中越来越多地用人工智能技术取代人类。对护士的实地研究提供了初步证据,表明在预测人际交往能力方面,人工智能的表现可能优于人类。然而,一系列调查和实验记录了普遍存在的相反的外行观点:个人认为人工智能在评估人际交往能力方面不如人类。在分析能力方面未观察到这种效应,这表明结果源于外行对人工智能在人际情境中适用性的看法,而非对算法的普遍反感。这些外行观点会使管理者对员工的看法产生偏差:管理者不太可能将需要人际交往能力的任务分配给由人工智能选拔(相对于人类选拔)的员工。此外,求职者表示,在人工智能(相对于人类)选拔过程中,他们会减少对人际交往(相对于分析)能力的重视。让参与者了解先进的人工智能选拔技术,减少了外行对人工智能在人际领域表现的负面看法。