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* feat(skill): add interpretability workflow * fix(data-scientist): make the causal route clickable * docs(data-scientist): list all interpretation resources
760 B
760 B
Interpretability report
- Decision, stakes, audience, and explanation target:
- Model/data/preprocessing versions:
- Scope: global / local / representation / fairness / contrastive:
- Reference population or local background:
- Feature correlations, proxies, perturbation validity, and shift:
- Method(s), assumptions, and implementation versions:
- Stability seeds/backgrounds/perturbations and sanity checks:
- Method disagreement and unresolved findings:
| Slice | N | Result | Uncertainty/limitations | Action |
|---|---|---|---|---|
| Overall | ||||
| High-impact/protected slice |
- Predictive interpretation:
- Causal claim (only if identified design supports it):
- Sensitive fields/access/retention controls:
- Reviewer and decision: