Research on the Application of Large Language Models in Human Resource Management Practices

Jingran Sun

doi:10.62677/IJETAA.2408125

Authors

Jingran Sun Author

DOI:

https://doi.org/10.62677/IJETAA.2408125

Keywords:

Large Language Models, Human Resource Management, AI Applications, Intelligent Recruitment, Employee Experience Optimization

Abstract

With the rapid development of artificial intelligence technology, large language models (LLMs) are being increasingly applied across various fields. This paper focuses on the research of LLMs in human resource management practices, discussing the current applications, challenges, and future trends of LLMs in core HR functions such as recruitment, training, and performance management. Through a systematic review and analysis of existing literature, this study finds that LLMs demonstrate enormous potential in HR management, significantly improving work efficiency, optimizing decision-making processes, and personalizing employee experiences. However, challenges such as data privacy, algorithmic bias, and ethical concerns still exist in practical applications. This paper proposes a series of recommendations to promote the effective application of LLMs in HR management and provides insights for future research directions.

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