+1000. That book should be required reading for anyone working in machine learning. Written by a former Wall Street quant who has the math down cold.

What she knows about rampant bias in allegedly politically agnostic machine learning circles is that the formulation and production of answers is trivial when compared to the formulation and production of questions.

Super-relevant to this thread is her work on recidivism risk scoring algos run on prisoners and defendants. The feedback loops that these algos spur are seriously damaging the lives of huge numbers of persons in the criminal justice system far beyond proportionality for the offenses that brought them there.