Choosing ML interpretability techniques for safety assurance

Overview

Distinguishes transparent models, post-hoc explanations and local and global forms of interpretability. It links technique selection to stakeholder requirements, suitable presentation of explanations and evaluation of both audience suitability and fidelity to model behaviour.