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