In today's data-driven landscape, artificial intelligence models are increasingly deployed in critical decision-making processes. However, the black box nature of these algorithms often leaves stakeholders confused about the reasoning behind AI-generated outcomes. This lack of intelligibility can impede trust and utilization of AI technologies. To