Explore the most serious prevalent ethical issues in data science with this insightful new resource The increasing popularity of data science has resulted in numerous wellpublicized cases of bias injustice and discrimination. The widespread deployment of Black box algorithms that are difficult or impossible to understand and explain even for their developers is a primary source of these unanticipated harms making modern techniques and methods for manipulating large data sets seem sinister even