This research explores AI-driven solutions for enhancing recruitment, performance assessment, and talent management in HRM. It examines the opportunities AI offers to improve efficiency and decision-making, alongside the challenges of implementation. The study also addresses critical ethical considerations, ensuring fairness, transparency, and accountability in integrating AI into human resource practices. The research aims to provide actionable insights for ethical and effective AI integration in HR practices. Objective: The main objectives of this study is to explore the key factors influenced by AI-based solutions in enhancing efficiency and accuracy...; as well as discover AI's major challenges and ethical concerns, including data privacy, bias, transparency, and employee trust for selected HRM practices. Method: The study relies on secondary data collected from a variety of sources, including research papers, Publications, credible websites, HR blogs, and survey reports. This diverse range of resources provides a comprehensive foundation for understanding the topic by drawing on established knowledge and current insights from the field of human resources. Results: AI-driven HR solutions improve recruitment, performance, and talent management with efficiency and accuracy, but raise ethical concerns on privacy, transparency, bias, employee trust and workplace culture impacts.
Molakhail et al. (Tue,) studied this question.
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