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Ceci n'est pas une explication: Evaluating Explanation Failures as Explainabilit
BACKGROUND
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30 Apr
Ceci n'est pas une explication: Evaluating Explanation Failures as Explainability Pitfalls in Language Learning Systems
REPORT · WHAT · ArXiv CS.AI
6.3
Other feeds and industry voices
23 Mar
Pitfalls in Evaluating Interpretability Agents
arXiv:2603.20101v1 Announce Type: new Abstract: Automated interpretability systems aim to reduce the need for human labor and scale analysis to increasingly large models and
REPORT · WHAT · ArXiv CS.AIOPEN STORY
28 Apr
Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings
arXiv:2604.22662v1 Announce Type: cross Abstract: Shapley values are a cornerstone of explainable AI, yet their proliferation into competing formulations has created a fragmented
REPORT · WHAT · ArXiv CS.AIOPEN STORY
20 Mar
ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs
arXiv:2603.18579v1 Announce Type: cross Abstract: Evaluating whether explanations faithfully reflect a model's reasoning remains an open problem. Existing benchmarks use single
REPORT · WHAT · ArXiv CS.AIOPEN STORY
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