While all the listed techniques (except penetration testing) support interpretability, " LIME " is specifically noted in the ISACA AAIA™ Study Guide for its ability to explain individual decisions. LIME creates a simpler, interpretable model around a specific prediction to show which features (e.g., high income or low debt) were the primary drivers for that specific case. This " Local " explanation is much easier for non-technical stakeholders or customers to understand than " Global " metrics like feature importance (Option A) or partial dependence plots (Option C), which describe the model ' s behavior as a whole.
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