Concept-Bottleneck Models with Expert-Discovered Versus Automatically-Discovered Concepts: A Comparative Study on Fine-Grained Fungal Classification
Interpretable-by-design architectures, such as Concept-Bottleneck Models (CBMs), are essential for trustworthy AI under regulations like the EU AI Act. While classical CBMs rely on costly expert labels, recent automated methods use vision–language models for concept discovery. However, whether automation preserves inte...