Imagine being denied a loan or misdiagnosed by a medical AI — and no one, not even the developers, can explain why it happened. For years, AI systems have operated behind closed doors: powerful but opaque, trusted but misunderstood. The term “black box” has become shorthand for the growing unease around artificial intelligence that can’t […]
Is it just me, or does the article just throw some words at me like LIME, SHAP, and ELI5 but doesn’t really explain what they do and how they contribute? I mean there are quite some interesting things in there. But concerning the tech, I didn’t learn much. How does for example a colorful map of the activations/features tell me what it did and how it got there?