In today's data-driven landscape, artificial intelligence models are increasingly deployed in critical decision-making processes. However, the opacity of these algorithms often leaves stakeholders baffled about the reasoning behind AI-generated outcomes. This lack of explainability can hinder trust and implementation of AI technologies. To address