Post-Hoc Explanation

nouncandidate·updated May 13, 2026

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Framework senses

2 senses across 2 frameworks

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI1 senseview framework →

§1: Post-hoc explainability targets models that are not readily inter- pretable by design by resorting to diverse means to enhance their in- terpretability, such as text explanations, visual explanations, local expla- nations, explanations by example, explanations by simplification and feature relevance explanations techniques. Each of these techniques covers one of the most common ways humans explain systems and processes by themselves.

Four Principles of Explainable Artificial Intelligence1 senseview framework →

§1: Post-hoc explainability targets models that are not readily interpretable by design by resorting to diverse means to enhance their interpretability, such as text explanations, visual explanations, local explanations, explanations by example, explanations by simplification and feature relevance explanations techniques. Each of these techniques covers one of the most common ways humans explain systems and processes by themselves.