E-TCAV: Formalizing Penultimate Proxies for Efficient Concept Based Interpretability

TCAV (Testing with Concept Activation Vectors) is an interpretability method that assesses the alignment between the internal representations of a trained neural network and human-understandable, high-level concepts. Though effective, TCAV suffers from significant computational overhead, inter-layer disagreement of TCAV scores, and statistical instability. This work takes a step toward addressing these challenges by introducing E-TCAV, a framework for efficient approximation of TCAV scores, whic

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ethics.ai (11 May 2026), “E-TCAV: Formalizing Penultimate Proxies for Efficient Concept Based Interpretability,” evidence record 4571, https://ethics.ai/record/4571 (originally published by arXiv).

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