A systematic literature review on artificial intelligence in recruiting and selection: a matter of ethics

IF 3.3 3区管理学 Q1 INDUSTRIAL RELATIONS & LABOR

Personnel Review Pub Date : 2024-07-19 DOI:10.1108/pr-03-2023-0257

Martina Mori, Sara Sassetti, Vincenzo Cavaliere, Mariacristina Bonti

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引用次数: 0

Abstract

Purpose

Starting from the relevance of ethics to the application of artificial intelligence (AI) in the context of employee recruitment and selection (R&S), in this article, we aim to provide a comprehensive review of the literature in light of the main ethical theories (utilitarian theories, theories of justice, and theories of rights) to identify a future research agenda and practical implications.

Design/methodology/approach

On the basis of the best-quality and most influential journals, we conducted a systematic review of 120 articles from two databases (Web of Science and Scopus) to provide descriptive results and adopt a framework for deductive classification of the main topics.

Findings

Inspired by the three ethical theories, we identified three thematic lines of enquiry for the debate on AI in R&S: (1) the utilitarian view: the efficient optimisation of R&S through AI; (2) the justice view: the perceptions of justice and fairness related to AI techniques; and (3) the rights view: the respect for legal and human rights requirements when AI is applied.

Originality/value

This article provides a detailed assessment of the adoption of AI in the R&S process from the standpoint of traditional ethics theories and offers an integrative theoretical framework for future research on AI in the broader field of HRM.

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关于招聘和选拔中的人工智能的系统文献综述：道德问题

目的本文从伦理学与人工智能（AI）在员工招聘和选拔（R&S）中的应用的相关性出发，旨在根据主要伦理学理论（功利主义理论、正义理论和权利理论）对文献进行全面综述，以确定未来的研究议程和实际意义。设计/方法/途径在质量最好、最有影响力的期刊的基础上，我们对两个数据库（Web of Science 和 Scopus）中的 120 篇文章进行了系统综述，以提供描述性结果，并采用一个框架对主要议题进行演绎分类。研究结果在三种伦理理论的启发下，我们确定了有关研发领域人工智能的讨论的三条主题线索：(1) 功利主义观点：通过人工智能实现研发领域的高效优化；(2) 正义观点：与人工智能技术相关的正义和公平观念；(3) 权利观点：在应用人工智能时尊重法律和人权要求。原创性/价值本文从传统伦理学理论的角度出发，对在研发和生产过程中采用人工智能进行了详细评估，并为今后在更广泛的人力资源管理领域开展人工智能研究提供了一个综合性理论框架。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Personnel Review Multiple-

CiteScore

7.10

自引率

7.70%

发文量

133

期刊介绍： Personnel Review (PR) publishes rigorous, well written articles from a range of theoretical and methodological traditions. We value articles that have high originality and that engage with contemporary challenges to human resource management theory, policy and practice development. Research that highlights innovation and emerging issues in the field, and the medium- to long-term impact of HRM policy and practice, is especially welcome.