HUMAN-CENTERED HRM IN THE AGE OF AI: BALANCING AUTOMATION AND EMPLOYEE EXPERIENCE

Abstract

This study aims to analyze how a human-centered HRM approach can be a strategy for balancing the benefits of AI automation with improved employee experience in the modern workplace. The study employed a literature review method, examining various scientific articles, books, proceedings, and research reports published in reputable databases on the implementation of AI in HRM. Data were analyzed through a process of identification, selection, synthesis, and interpretation of findings to gain a comprehensive understanding of the opportunities, challenges, and strategies for implementing human-centered AI. The study's results indicate that AI can optimize HRM process efficiency through the automation of administrative tasks, predictive analytics, and personalized employee development. However, the effectiveness of AI implementation depends heavily on the integration of human-centered values, such as algorithm transparency, data privacy protection, bias reduction, strengthening leadership roles, and active employee engagement in the digital transformation process. This approach enables organizations not only to improve operational performance but also to strengthen employee well-being, trust, job satisfaction, and positive employee experiences. Therefore, the success of HRM in the AI ​​era is determined not only by technological sophistication but also by the organization's ability to place humans at the center of every digital innovation.