ai Explainability Xai Translator

# 16. AI Explainability (XAI) Translator

**Domain:** AI Governance
**Level:** Advanced

## Use Case

Take a technical AI model description and generate a transparency statement for non-technical users, regulators, and affected individuals. Directly implements EU AI Act Article 13 transparency obligations and ISO 42001 Annex A.8.4 and A.8.5.

## Variables

| Variable | What to Enter | Example |
|----------|--------------|---------|
| `[TECHNICAL_MODEL_DESCRIPTION]` | The technical description of the AI model | Paste the model card, architecture summary, or technical documentation - the more detail the better |
| `[AI_SYSTEM_PURPOSE]` | What the AI system does and what decisions it influences | e.g. Recommends credit limits for retail banking customers; classifies chest X-rays for radiologist review |
| `[TARGET_AUDIENCE]` | Who the transparency statement is for | e.g. Affected customers (plain English), Regulators (technical but non-specialist), Internal risk committee, All staff |
| `[REGULATORY_CONTEXT]` | Which transparency obligations apply | e.g. EU AI Act Article 13 (high-risk AI system), GDPR Article 22 (automated decision-making), FCA Consumer Duty, NHS AI ethics framework |
| `[KNOWN_LIMITATIONS]` | Known limitations, failure modes, or conditions where the model performs less well | e.g. Performs less accurately for customers with limited credit history; not validated for patients under 18 |

## The Prompt

Copy everything below this line. Replace all `[VARIABLES]` with your specific information. Paste into Claude, GPT-4o, Gemini, or any capable LLM.

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