The paper is a whitepaper that reviews interpretability concepts, proposes a standardized reporting framework and adoption roadmap, and presents qualitative case studies without new experimental or theoretical claims.
Evaluation of post-hoc interpretability methods in time-series classification
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Transparent AI: The Case for Interpretability and Explainability
The paper is a whitepaper that reviews interpretability concepts, proposes a standardized reporting framework and adoption roadmap, and presents qualitative case studies without new experimental or theoretical claims.