Artificial Intelligence in Human Resource Management: Reshaping Talent Strategies in the Digital Era
Abstract
The integration of artificial intelligence (AI) into human resource management (HRM) has revolutionized traditional practices,
enabling data-driven decision-making and operational efficiency. This paper systematically analyzes the applications of AI in recruitment,
training, performance management, and staff retention, supported by case studies from global enterprises (e.g., Unilever, IBM) and Chinese
corporations (e.g., Alibaba, Tencent). It further explores ethical challenges, including algorithmic bias and data privacy risks, and proposes
a governance framework balancing technological innovation with human-centric values. The study concludes with future directions for AIHRM synergy, emphasizing collaborative intelligence and policy coordination.
enabling data-driven decision-making and operational efficiency. This paper systematically analyzes the applications of AI in recruitment,
training, performance management, and staff retention, supported by case studies from global enterprises (e.g., Unilever, IBM) and Chinese
corporations (e.g., Alibaba, Tencent). It further explores ethical challenges, including algorithmic bias and data privacy risks, and proposes
a governance framework balancing technological innovation with human-centric values. The study concludes with future directions for AIHRM synergy, emphasizing collaborative intelligence and policy coordination.
Keywords
AI in HRM; Talent Analytics; Ethical AI, Algorithmic Bias; Human-AI Collaboration
Full Text:
PDFReferences
[1] Smith, J. et al. (2022). AI in Talent Acquisition: A Unilever Case Study. Harvard Business Review.
[2] Davenport, T. (2023). The Metaverse at Work. MIT Sloan Management Review.
[3] McKinsey Global Institute. (2023). The State of AI in HR: Trends and Challenges.
DOI: http://dx.doi.org/10.70711/memf.v2i6.6912
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