Purpose

In 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/approach

This 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.

Findings

As 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/value

The 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.

中文翻译：

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人工智能视频面试就业：申请人，公司，开发商和院士的观点

目的

2018年，韩国公司引入并采用了人工智能（AI）采访平台。这项研究旨在探讨通过此平台经历过基于AI的面试的申请人的观点，并研究公司，平台开发商和学术界的意见。

设计/方法/方法

本研究采用现象学方法。最近在AI视频采访中有经验的参与者都是通过离线和在线方式招募的。20多岁的18位求职者，两家采用此面试平台的公司，创建该平台的软件开发人员和三位教授参加了这项研究。为了收集数据，进行了焦点小组访谈和深入访谈。

发现

结果，他们所有人都认为基于AI的面试在成本和时间节省方面比传统面试更有效率，并且将来可能会被更多的公司采用。他们指出，数据偏倚可能需要改善AI问责制。申请人认为基于AI的面试在程序公平性，算法的客观性和一致性方面要优于传统的评估程序。但是，一些申请人对AI的评估不满意。数字鸿沟和自动不平等是本研究中反复出现的主题。

创意/价值

这项研究非常重要，因为它详细介绍了AI的实际应用，而智能招聘工具的案例研究将对找到这种招聘在就业和AI领域的实践和理论意义具有重要意义。