Post-Hoc Explanation
nounid
5024·updated Aug 28, 2026verified
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.
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Classifications
Entity Type
Process100%manual revieweval-seeds-v0.3-2026-05-14
Sensitivity
—50%llm-generatedllm:claude-haiku-4-5
Information Class
—60%llm-generatedllm:claude-haiku-4-5
Variants
- plural
- Post-Hoc Explanations
- possessive
- Post-Hoc Explanation's
- pluralpossessive
- Post-Hoc Explanations'
Framework definitions
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.
- §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.
- §1 · legacy_primary
- 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.DR-088 backfill from the noun definition column
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