人工智能在职业发展和人才管理方面的潜力分析:系统性文献综述

Natalia Tusquellas , Ramon Palau , Raúl Santiago
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引用次数: 0

摘要

本文旨在分析当前人工智能在企业界职业发展和人才管理中的应用,重点关注企业培训。通过基于 PRISMA 2020 报告标准的系统性文献综述,本文重点介绍了人工智能的当前应用情况,以及与其实施相关的主要优点和缺点。研究结果表明,人工智能正被用于加强招聘流程、识别个人培训与发展技能和需求、开发个性化培训路径、留住人才和预测自然减员,以及检测未来劳动力技能发展需求。报告概述了公司内部对自动化人才管理流程的需求,并指出,在实施人才智能的同时,还应面对由此带来的挑战,如最大限度地降低偏见风险和聘用高技能的合格人才。
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Analysis of the potential of artificial intelligence for professional development and talent management: A systematic literature review

The aim of this paper was to analyse the current applications of Artificial Intelligence in professional development and talent management within the corporate world with a focus on corporate training. By means of a Systematic Literature Review based on the PRISMA 2020 reporting criteria this paper highlights the current applications of AI along with the main benefits and drawbacks associated with its implementation. The findings show that AI is being used to enhance recruitment processes, to identify individual training and development skills and needs, to develop personalised training paths, to retain talent and predict attrition, and to detect future workforce skills development needs. It has been outlined that there is a need for automated talent management processes within companies and that talent intelligence should be implemented along with facing the challenges this will entail, such as minimising the risk of bias and hiring high-skilled qualified personnel.

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