Lecture 6 Additional Software Tools and Examples Awesome Machine Learning Interpretability Lecture 6 Additional Reading Introduction and Background: A Responsible Machine Learning Workflow with Focus on Interpretable Models, Post-hoc Explanation, and Discrimination Testing NIST AI Risk Management Framework Interagency Guidance on Model Risk Management (SR 11-7)