The Doctor Just Won't Accept That!

Calls to arms to build interpretable models express a well-founded discomfort with machine learning. Should a software agent that does not even know what a loan is decide who qualifies for one? Indeed, we ought to be cautious about injecting machine learning (or anything else, for that matter) into applications where there may be a significant risk of causing social harm. However, claims that stakeholders just wonu0027t accept that! do not provide a sufficient foundation for a proposed field of study. For the field of interpretable machine learning to advance, we must ask the following questions: What precisely wonu0027t various stakeholders accept? What do they want? Are these desiderata reasonable? Are they feasible? In order to answer these questions, weu0027ll have to give real-world problems and their respective stakeholders greater consideration.