Instruction: Propose metrics or methods for evaluating the effectiveness of AI explainability techniques.
Context: This question challenges the candidate to think critically about how to quantitatively and qualitatively assess the success of explainability interventions in AI.
Official answer available
Preview the opening of the answer, then unlock the full walkthrough.
I would measure success by whether the explanations are faithful, usable, and decision-relevant. Those three things matter together. A very intuitive explanation that misrepresents the model is a problem, and a perfectly faithful explanation that no one can act on is not much better.
Success measures can...
medium
hard