In the era of Artificial Intelligence, algorithms are shaping decisions in industries ranging from healthcare to finance and even law enforcement. While these systems have shown exceptional capabilities, their decision-making processes often remain a mystery — a phenomenon referred to as the “black box” problem. Explainable AI (XAI) aims to solve this by making AI models transparent, interpretable, and accountable.