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failure-taxonomy

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Classifying AI failures — hallucination, refusal, irrelevance, tone mismatch, latency.

gemini-extension/evaluation/skills/failure-taxonomy/SKILL.md

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# Failure Taxonomy
Not all AI failures are the same. A hallucination is different from a refusal, which is different from a tone mismatch. A failure taxonomy classifies failure types so teams can track, prioritise, and address them systematically.
## Failure Categories
**Content Failures:**
- **Hallucination**: The AI presents false information as fact
- **Inaccuracy**: The AI gets details wrong (dates, numbers, names)
- **Incompleteness**: The AI misses important information
- **Irrelevance**: The AI's response doesn't address the user's actual question
- **Contradiction**: The AI contradicts itself within or across responses
**Behavioral Failures:**
- **Inappropriate refusal**: The AI refuses a reasonable request
- **Missing refusal**: The AI fulfils a request it should have declined
- **Tone mismatch**: The AI's tone is wrong for the context
- **Persona break**: The AI drops out of its defined persona
- **Over-generation**: The AI produces far more than needed
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