Artificial Intelligence in Human Resource Management: Implications for Multi-Diversity and Inclusive Workforce Practice

The integration of Artificial Intelligence (AI) into Human Resource Management (HRM) is transforming organizational decision-making and workforce practices. At the same time, organizations face increasing expectations to promote multidiversity and inclusion in the workplace. While AI-enabled HR systems promise efficiency, objectivity, and data-driven insights, they also raise concerns regarding algorithmic bias, transparency, and fairness. This article critically examines the implications of AI in HRM for multidiversity and inclusive workforce practice. Drawing on socio-technical systems theory, institutional theory, and organizational justice theory, the article develops a conceptual framework explaining how AI-enabled HR processes can either enhance or undermine inclusion outcomes. The analysis explores AI applications across key HR functions—recruitment and selection, performance management, learning and development, and employee engagement—and highlights associated risks and opportunities for diverse employee groups. The article further discusses managerial and governance mechanisms necessary to ensure responsible and inclusive AI adoption in HRM. By integrating diversity and inclusion considerations into the discourse on AI-enabled HRM, this study contributes to theory and practice by offering a structured foundation for future research and guiding organizations toward ethically grounded, inclusive workforce strategies.