面向就业的人工智能视频面试:来自申请人、公司、开发者和学者的观点

Jin-Young Kim, Wan Heo
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引用次数: 16

摘要

2018年,人工智能(AI)面试平台被引进并被国内企业采用。本研究旨在探讨通过该平台进行人工智能面试的申请人的观点,并考察公司、平台开发商和学术界的观点。设计/方法/方法本研究采用现象学方法。参与者最近都有过人工智能视频面试的经历,他们通过线下和线上招募。18名20多岁的求职者、采用该面试平台的2家公司、开发该平台的软件开发人员、3名教授参与了调查。为了收集数据,我们进行了焦点小组访谈和深度访谈。因此,他们都认为基于人工智能的面试在节省成本和时间方面比传统的面试更有效,未来可能会被更多的公司采用。他们指出,可能存在数据偏差,需要改进人工智能问责制。申请人认为基于人工智能的面试在程序公正性、客观性和算法一致性方面优于传统的评估程序。然而,一些申请者对被人工智能评估感到不满。在这项研究中,数字鸿沟和自动化不平等是反复出现的主题。独创性/价值这项研究很重要,因为它详细阐述了人工智能的实际应用,而智能招聘工具的案例研究对于发现这种招聘在就业和人工智能领域的实践和理论意义是有价值的。
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Artificial intelligence video interviewing for employment: perspectives from applicants, companies, developer and academicians
PurposeIn 2018, an artificial intelligence (AI) interview platform was introduced and adopted by companies in Korea. This study aims to explore the perspectives of applicants who have experienced an AI-based interview through this platform and examines the opinions of companies, a platform developer and academia.Design/methodology/approachThis study uses a phenomenological approach. The participants, who had recent experience of AI video interviews, were recruited offline and online. Eighteen job applicants in their 20s, two companies that have adopted this interview platform, a software developer who created the platform and three professors participated in the study. To collect data, focus group interviews and in-depth interviews were conducted.FindingsAs a result, all of them believed that an AI-based interview was more efficient than a traditional one in terms of cost and time savings and is likely to be adopted by more companies in the future. They pointed to the possibility of data bias requiring an improvement in AI accountability. Applicants perceived an AI-based interview to be better than traditional evaluation procedures in procedural fairness, objectivity and consistency of algorithms. However, some applicants were dissatisfied about being assessed by AI. Digital divide and automated inequality were recurring themes in this study.Originality/valueThe study is important, as it addresses the real application of AI in detail, and a case study of smart hiring tools would be valuable in finding the practical and theoretical implications of such hiring in the fields of employment and AI.
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