| name | Explainability |
| description | See the main Model Explainability skill for comprehensive XAI coverage. |
Explainability
This skill is covered in detail in the main Model Explainability skill.
Please refer to: 44-ai-governance/model-explainability/SKILL.md
That skill covers:
- What is explainability and why it matters
- Types of explanations (global, local, counterfactual)
- SHAP (SHapley Additive exPlanations)
- LIME (Local Interpretable Model-agnostic Explanations)
- LLM explainability (attention weights, chain-of-thought)
- Presenting explanations to users
- Explainability for different audiences
- Trade-offs (accuracy vs explainability)
- Tools (SHAP, LIME, InterpretML, Captum, Alibi)
- Explainability in production
- Regulatory requirements (GDPR, AI Act)
- Implementation examples
Related Skills
44-ai-governance/model-explainability (Main skill)
44-ai-governance/auditability
44-ai-governance/human-approval-flows