Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China

Research Article

Research on the Influence of "Limiting Rationality" and "Limited Reliability" of Artificial Intelligence on Traditional Ethical Dilemma in Human Resource Management

Download41 downloads
  • @INPROCEEDINGS{10.4108/eai.8-12-2023.2344763,
        author={Liang  Feng and Jun  Gong and Tao  Wang},
        title={Research on the Influence of "Limiting Rationality" and "Limited Reliability" of Artificial Intelligence on Traditional Ethical Dilemma in Human Resource Management},
        proceedings={Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8--10, 2023, Guangzhou, China},
        publisher={EAI},
        proceedings_a={MSIEID},
        year={2024},
        month={4},
        keywords={artificial intelligence; limiting rationality; limited reliability; human resource management ethics},
        doi={10.4108/eai.8-12-2023.2344763}
    }
    
  • Liang Feng
    Jun Gong
    Tao Wang
    Year: 2024
    Research on the Influence of "Limiting Rationality" and "Limited Reliability" of Artificial Intelligence on Traditional Ethical Dilemma in Human Resource Management
    MSIEID
    EAI
    DOI: 10.4108/eai.8-12-2023.2344763
Liang Feng1,*, Jun Gong1, Tao Wang1
  • 1: National University of Defense Technology
*Contact email: fengliang@nudt.edu.cn

Abstract

The integration of artificial intelligence into human resource management is an irreversible trend, which is a change. However, its current black box, no human emotion and other issues directly affect the ethical issues of human resource management, and its possible super-human intelligence determines that once ethical issues occur, it will be very difficult to rely on human beings to try to save them. The purpose of this study is to explore the influence of the "infinite rationality" which breaks through the characteristics of human finiteness and the "limited reliability" of traceable responsibility on the ethical dilemma of the traditional four dimensions in human resource management. It is pointed out that the state should always be ahead of the social groups in the technological development of optimal decision-making, should legislate to promote data transparency and strengthen data supervision, should strictly restrict and control the application of technologies with obvious black box problems by social enterprises, and should rapidly develop related technologies to achieve flat management in the whole society.