Integrating Human Resource Management and Artificial Intelligence in Educational Leadership: Pathways Toward Transformational Change

This paper explores the evolving interplay between Human Resource Management (HRM) practices and Artificial Intelligence (AI) in the context of educational leadership and institutional effectiveness. While HRM continues to serve as a foundational pillar for organizational performance through recruitment, staff development, motivation, and performance evaluation, it often faces systemic, cultural, and organizational limitations in educational settings. Simultaneously, the emergence of AI technologies—including predictive analytics, machine learning, and AI-driven decision-making—offers new tools for enhancing leadership capabilities. The study examines how AI can complement and extend HRM functions, particularly in recruitment, training, performance management, and strategic planning, thereby contributing to a data-informed, inclusive, and transformational model of leadership. Through this integration, educational institutions are better positioned to meet modern demands for innovation, responsiveness, and student-centered practices. However, the implementation of AI-HRM strategies also introduces significant challenges, including technological dependency, data privacy risks, leadership depersonalization, and ethical dilemmas. Addressing these issues requires reflective leadership, continuous professional development, and clear AI governance frameworks. The paper concludes by advocating for a balanced, human-centered approach to innovation and calls for further research into the long-term implications of AI-HRM convergence in education. Received: 15 January 2025 / Accepted: 25 April 2025 / Published: 06 May 2025