Monumental advancements in artificial intelligence (AI) have lured the interest of doctors, lenders, judges, and other professionals. While these high-stakes decision-makers are optimistic about technology, those familiar with AI systems wary lack transparency its decision-making processes. Perturbation-based post hoc explainers offer a model agnostic means interpreting while only requiring que...