Interpretability in machine learning (ML) is crucial for high stakes decisions and
troubleshooting. In this work, we provide fundamental principles for interpretable ML, and …

Algorithms (in some form) are already widely used in the criminal justice system. We draw
lessons from this experience for what is to come for the rest of society as machine learning …