explainability

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