نسخة أولية وصول مفتوح
When Are Concept Bottleneck Model Explanations Faithful and Compact?
Concept bottleneck models (CBMs) are neural classifiers that allow to explain their decisions via high-level concepts, potentially enabling understanding, steering and debugging. However, their explanations are often derived heuristically. Building on formal explainability, we argue they should also be faithful, i.e., …