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

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.

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Publication Details

Journal
International Journal of Information and Communication Technology
Published
2025-01-01
DOI
https://doi.org/10.1504/ijict.2025.146810
Citations
1
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
2.76
Controls
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article

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

Bin Wang
1 citations
International Journal of Information and Communication Technology
AI and HR Technologies
2.76
article

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

Bin Wang
article en
1 citations

Abstract

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.

International Journal of Information and Communication TechnologyVol. 26(20)
Xi'an International Studies University (CN), Xi’an International University (CN)
Decent work and economic growth
Openalex Percentile: Top 10%
AI and HR Technologies
2.76
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Artificial intelligence and deep learning in human resource management: tools techniques and research challenges — Bin Wang · International Journal of Information and Communication Technology (2025) | TGRS Research Map | TGRS