Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges

Cynthia Rudin, Chaofan Chen, Zhi Chen +3

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