The ISTQB CT-AI syllabus states in Section2.10 -- Explainability, Transparency, and Interpretabilitythat interpretability isuser-dependent, meaning different users understand explanations differently. This is because interpretability depends not only on the ML algorithm but also on the user's domain knowledge, experience, and expectations. OptionBdirectly reflects this syllabus principle: interpretability testing must consideruser background, and explanations must be comprehensible to the intended user group.

Option A is incorrect because explainability testing requires substantial information about the model, data, and expected behavior---not just exploratory effort. Option C is incorrect because explainability isnotgenerally quantifiable through dynamic testing alone, and the syllabus does not assert model-type specificity in this way. Option D exaggerates LIME's capabilities. LIME offers approximate local explanations, but cannotpreciselystate root causes; the syllabus emphasizes itslimitationsand that explanations areapproximations, not exact reasons.

Therefore,Option Bis the most syllabus-aligned and correct statement.