Practice of Human Resource Management Driven by Artificial Intelligence and Employee Response
DOI:
https://doi.org/10.54097/wvqgkz05Keywords:
Artificial Intelligence Driven Human Resource Management (AI-HRM), Employee Responses, Algorithmic FairnessAbstract
With the rapid development of artificial intelligence technology, AI driven human resource management (AI-HRM) is profoundly changing the management paradigm of enterprises, but its complex psychological and behavioral impacts on employees still need to be further explored. The aim of this study is to systematically analyze the current application status of AI-HRM in core scenarios such as recruitment, performance, and training, and to construct a comprehensive explanatory model for employees' response to the algorithm. The research content is mainly divided into three dimensions: firstly, the technical path and management limitations of AI in asynchronous interaction, dynamic benchmark evaluation, and workplace skill modeling are analyzed through case studies; Secondly, based on the theories of organizational fairness and cognitive perception, this study explores the psychological processes of employees' perception of fairness, algorithmic anxiety, and organizational alienation in algorithmic decision-making contexts; Finally, key boundary conditions that affect employee response and the organization's communication strategies in responsible AI were identified. Research has found that AI-HRM has significant advantages in activating internal talent markets and enhancing management objectivity, but further optimization and development are still needed in the future.
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