Human Factors in Model Interpretability: Industry Practices, Challenges

Interpreting Interpretability: Understanding Data Scientists’ Use of Interpretability Tools for Machine Learning

Human Evaluation of Models Built for Interpretability

Manipulating and Measuring Model Interpretability