Understand how AI models make decisions through explainability techniques like SHAP, LIME, and gradient-based attribution methods. Learn to debug black-box models, assess fairness, and build interpretable systems through expert talks on YouTube from leading institutions like UC Berkeley and the Alan Turing Institute.