Artificial Intelligence (AI) has witnessed remarkable advancements in recent years, enabling it to achieve unprecedented levels of performance across various domains. However, as AI systems become more complex and pervasive, their “black-box” nature has raised concerns about their interpretability and trustworthiness. To address these challenges, the concept of Explainable AI (XAI) has emerged as a critical field of research.