Deep learning architectures are revolutionizing numerous fields, from image recognition to natural language processing. However, their complex nature often poses a challenge: understanding how these models arrive at their decisions. This lack of transparency, often referred to as the "black box" problem, restricts our ability to thoroughly trust an