MODEL INTERPRETABILITY TECHNIQUES: FROM BLACK BOX TO CLARITY

Introduction As artificial intelligence continues to shape industries, a critical challenge has emerged: understanding how these complex models make decisions. This is where model interpretability techniques become essential. While machine learning models, especially deep learning systems, deliver high accuracy, they often operate as black boxes