Are Concept Bottleneck Models Effective as Decision-Support Systems?
arXiv:2608.25581v2 Announce Type: replace-cross Abstract: Concept Bottleneck Models (CBMs) are interpretable-by-design neural networks that detect human-understandable concepts from the input and use them to generate predictions. By allowing users to inspect the concepts underlying a prediction and…