The rapid adoption of Artificial Intelligence (AI) in Human Resource Management (HRM) has significantly transformed traditional people-management methods, offering notable operational advantages while also presenting intricate ethical challenges. AI-powered systems improve recruitment accuracy, automate routine administrative tasks, and support data-driven decision making. However, their use raises important issues concerning algorithmic bias, transparency, fairness, data privacy, and employee autonomy. This study critically explores the ethical aspects of AI-enabled HRM, focusing on human–AI interaction, workforce reskilling, and organizational ethics. It examines AI's impact of AI on recruitment, performance assessment, learning and development, and employee engagement, while highlighting the necessity of ongoing skill development to address digital disparities. The study contends that responsibly integrating AI into HRM requires strong ethical governance frameworks and a humancentered design approach to maintain trust, equity, and human dignity in technologically advanced workplaces