Machine learning algorithms usually operate as black boxes and it is unclear how they derived a certain decision. This book is a guide for practitioners on how to make machine learning decisions more interpretable.
B. Goodman, and S. Flaxman. (2016)cite arxiv:1606.08813Comment: presented at 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), New York, NY.