Challenges and Opportunities for Corporate Human Resource Management in the Context of Artificial Intelligence

Authors

  • Limin Han

DOI:

https://doi.org/10.62051/ijgem.v2n2.20

Keywords:

Artificial Intelligence; Enterprise Human Resource Management; Challenges; Opportunities

Abstract

With the continuous development and maturity of Internet technology, big data and artificial intelligence have gradually become the new products of the 21st century, and their applications are expanding while promoting the development of science and technology. As artificial intelligence has the advantages of fast, accurate and convenient, its application in the field of enterprise human resource management has brought a new working mode for enterprise human resource management and put forward higher requirements for enterprise human resource managers. On this basis, this paper gives an overview of the development and application of artificial intelligence, discusses the specific application of artificial intelligence in enterprise human resource management, focuses on the challenges and opportunities faced by enterprise human resource management in the context of artificial intelligence, and aims to bring technical support to relevant departments.

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References

Qi Zhibin. Implementing "double reduction": the pros and cons of artificial intelligence technology-assisted teaching[J]. Journal of Mudanjiang Normal University (Natural Science Edition), 2024, (01): 78-80.

DAI Guohong, ZHANG Daohan, PENG Simin, MIAO Yifan, ZHUO Yue, YANG Ruixin, YU Quanqing. Research review of artificial intelligence in power battery health state prediction[J]. Journal of Mechanical Engineering, 2019, (01): 1-18.

Hou Ya. Application of medical big data analysis and artificial intelligence in health system[J]. Information Systems Engineering, 2024, (02): 89-92.

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Published

07-04-2024

Issue

Section

Arcicles

How to Cite

Han, L. (2024). Challenges and Opportunities for Corporate Human Resource Management in the Context of Artificial Intelligence. International Journal of Global Economics and Management, 2(2), 147-152. https://doi.org/10.62051/ijgem.v2n2.20