Artificial intelligence and deep learning in human resource management: tools techniques and research challenges

被引：0

作者：

Wang, Bin ^{[1
]}

机构：

[1] Commercial College, Xi an International University, Shaanxi, Xi an

来源：

International Journal of Information and Communication Technology | 2025年 / 26卷 / 20期

关键词：

AI; artificial intelligence; deep learning; DL; HRM; human resource management; talent acquisition; workforce analytics;

D O I：

10.1504/IJICT.2025.146810

中图分类号：

学科分类号：

摘要：

The combination of artificial intelligence (AI) and deep learning (DL) within the field of human resource management (HRM) is revolutionising the conventional HR techniques, enhancing productivity, decision-making, and staff satisfaction. The focus of this research paper is on the examination of the core components and techniques of AI and DL in HRM, which are to be highlighted via their use in the areas of hiring, employment participation, performance management, and workforce analytics. Furthermore, it aims to delve into the constraints one might face in the integration of AI-powered HR solutions such as ethical issues, biases in algorithms, security of data, and the necessity of HR workers being re-4skilled. Through the robust examination of the progress and challenges, the research is likely to yield both a descriptive overview of the influence of AI & DL on HRM and recommendations on the future axes of research and best practices to leverage AI in the workforce. Copyright © 2025 Inderscience Enterprises Ltd.

引用

页码：99 / 111

页数：12

共 28 条

[1]

Abasaheb S.A., Subashini R., Enhancing HR efficiency through the integration of artificial intelligence and internet of things: a study on AI implementation in human resource management, EAI Endorsed Transactions on Scalable Information Systems, 11, 2, (2024)

[2]

Agarwal A., AI adoption by human resource management: a study of its antecedents and impact on HR system effectiveness, Foresight, 25, 1, (2023)

[3]

Agustono D.O.S., Nugroho R., Yanu Alif Fianto A., Artificial intelligence in human resource management practices, KnE Social Sciences, (2023)

[4]

Alsaif A., Sabih Aksoy M., AI-HRM: artificial intelligence in human resource management: a literature review, Journal of Computing and Communication, 2, 2, (2023)

[5]

Bakar A., Albadry S.A., Silvia J.S., Joko M S., Analysis of the use of artificial intelligence (AI) in human resources management (HR): study at PT Semen Baturaja Persero (SMBR), Enigma in Economics, 2, 1, (2024)

[6]

Charlwood A., Guenole N., Can HR adapt to the paradoxes of artificial intelligence?, (2022)

[7]

Chowdhury S., Joel-Edgar S., Dey P.K., Bhattacharya S., Kharlamov A., Embedding transparency in artificial intelligence machine learning models: managerial implications on predicting and explaining employee turnover, International Journal of Human Resource Management, 34, 14, (2023)

[8]

Fernandes F.T.J., Sao Mamede H., Pereira Barroso J.M., Pereira Duarte dos Santos V.M., Artificial intelligence applied to potential assessment and talent identification in an organisational context, Heliyon, 9, 4, (2023)

[9]

Ganatra N.J., Pandya J.D., The transformative impact of artificial intelligence on HR practices and employee experience: a review, Journal of Management Research and Analysis, 10, 2, (2023)

[10]

Huang X., Yang F., Zheng J., Feng C., Zhang L., Personalized human resource management via HR analytics and artificial intelligence: theory and implications, Asia Pacific Management Review, 28, 4, (2023)

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