“Unlocking the Black Box: Enhancing Explainable AI through Interpretable Models”
Section: Enhancing Explainable AI through Interpretable Models In the realm of artificial intelligence (AI), understanding how decisions are made by machine learning models has become increasingly crucial. This section delves into two key approaches that enable explainability in AI systems: Explainable Boosting Machines (EBMs) and eXplainable AI (XAI). By examining these methods, we aim to … Read more