张琪, 林佳怡, 陈璐, 刘军. 人工智能技术驱动下的人力资源管理:理论研究与实践应用[J]. 电子科技大学学报社科版, 2023, 25(1): 77-84. DOI: 10.14071/j.1008-8105(2022)-3014
引用本文: 张琪, 林佳怡, 陈璐, 刘军. 人工智能技术驱动下的人力资源管理:理论研究与实践应用[J]. 电子科技大学学报社科版, 2023, 25(1): 77-84. DOI: 10.14071/j.1008-8105(2022)-3014
ZHANG Qi, LIN Jia-yi, CHEN Lu, LIU Jun. Human Resource Management Driving by Artificial Intelligence Technology: Theoretical Research and Practical Application[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2023, 25(1): 77-84. DOI: 10.14071/j.1008-8105(2022)-3014
Citation: ZHANG Qi, LIN Jia-yi, CHEN Lu, LIU Jun. Human Resource Management Driving by Artificial Intelligence Technology: Theoretical Research and Practical Application[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2023, 25(1): 77-84. DOI: 10.14071/j.1008-8105(2022)-3014

人工智能技术驱动下的人力资源管理:理论研究与实践应用

Human Resource Management Driving by Artificial Intelligence Technology: Theoretical Research and Practical Application

  • 摘要:
    目的/意义数据挖掘、生物识别等技术的发展给人类带来了智能化冲击,众多企业都尝试应用人工智能(AI)技术进行人力资源管理,厘清AI技术在人力资源管理领域的理论研究和实践应用是推动企业智能化发展的关键。
    设计/方法通过梳理AI技术与人力资源管理的相关文献,阐述AI技术的概念,介绍AI技术在人力资源管理领域的理论基础与应用实践,并分析机遇和挑战。
    结论/发现AI技术在人力资源管理领域有着提高人力资源管理效率、提供无偏评估下的针对性服务等优势,也存在着员工安全感缺失、劳动关系变革等问题。未来需要进一步夯实AI在人力资源管理中的理论基础,优化AI在人力资源管理中的应用技术,细化AI在人力资源管理中的应用策略。

     

    Abstract: Purpose/Significance The development of data mining, biometrics and other technologies has brought an intelligent impact to human. Many companies have tried to apply artificial intelligence (AI) technology for human resource management. Clarifying the theoretical research and practical application of AI technology in the field of human resource management is the key to promoting the intelligent development of enterprises. Design/Methodology By combing the relevant literature of AI technology and human resource management, this paper clearly expounds the concept of AI technology, comprehensively introduces the theoretical basis and application practice of AI technology in the field of human resource management, deeply analyzes the opportunities and challenges. Conclusions/Findings AI technology has the advantages of improving the efficiency of human resource management and providing specifical service under unbiased evaluation, but there are also problems such as employees’ lack of security and labor relationship reform. In the future, it is necessary to further consolidate the theoretical foundation of AI in human resource management, optimize the application technology, and refine the application strategy.

     

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