Explainability and Interpretability in AI Agents: Making the Black Box Transparent. As AI agents become increasingly integrated into critical decision-making processes, the ability to explain and interpret their behavior becomes paramount. Explainability and interpretability are not just regulatory requirements but essential features for building trust, enabling debugging, and ensuring responsible AI deployment. Here are the methods, tools, and implementations for making AI agents more transparent and understandable. Foundations of Explainable AI Key Concepts Interpretability Direct…