Explainable Artificial Intelligence (XAI) integration has become an important topic in the rapidly evolving recruitment landscape in order to maintain ethical decision-making and increase stakeholder confidence. This thesis investigates the integration of XAI models into hiring procedures, aiming to establish a transparent and consistent decision-making environment that mitigates potential biases and addresses ethical concerns inherent in AI-driven systems. The research envisions a future where AI not only supports but enhances the capabilities of HR professionals and hiring managers by providing deeper insights and more precise candidate evaluations. By doing so, the study contributes valuable insights aimed at optimizing recruitment processes, thereby increasing efficiency and effectiveness of the recruitment process. The research explores how XAI can support and enhance the capabilities of HR professionals and hiring managers by providing deeper insights and more accurate evaluations of candidates. It also assesses the practical implications of employing XAI, its impact on recruitment outcomes, and the ethical dimensions of utilizing such advanced technologies in organizational settings.