Artificial Intelligence (AI) has significantly transformed Human Resource Management (HRM), particularly in recruitment and selection processes. This study aims to systematically review existing literature to examine the role of AI in recruitment, focusing on its applications, benefits, challenges, and ethical implications. A systematic literature review (SLR) methodology was adopted, analyzing peer-reviewed articles published between 2015 and 2025 from databases such as Google Scholar and Scopus. The findings reveal that AI enhances recruitment efficiency by automating resume screening, improving candidate-job fit through predictive analytics, and reducing time and cost. Additionally, AI-driven tools such as chatbots and virtual assistants improve candidate experience. However, challenges such as algorithmic bias, lack of transparency, data privacy concerns, and reduced human interaction remain critical issues. The study concludes that while AI offers substantial advantages in recruitment, its ethical implementation and integration with human judgment are essential for effective and fair hiring practices. The paper also identifies research gaps and suggests directions for future research in AI-driven HRM.