👉 Explainability is a field of artificial intelligence that aims to understand and interpret human actions, decisions, or thoughts. It involves creating models or algorithms that can be used to predict what humans will do in similar situations. In machine learning, explainable AI refers to applications where AI systems are trained on large amounts of data and then explainable how they arrived at their predictions. This means that the system is able to understand its own decision-making process, rather than just relying solely on statistical models. One
