Quantifying Interpretability and Trust in Machine Learning Systems

Philipp Schmidt, Felix Biessmann

Decisions by Machine Learning (ML) models have become ubiquitous. Trusting these decisions requires understanding how algorithms take them. Hence interpretability methods for ML ar…