AI RESEARCH
Prototype-Grounded Concept Models for Verifiable Concept Alignment
arXiv CS.AI
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ArXi:2604.16076v1 Announce Type: cross Concept Bottleneck Models (CBMs) aim to improve interpretability in Deep Learning by structuring predictions through human-understandable concepts, but they provide no way to verify whether learned concepts align with the human's intended meaning, hurting interpretability. We