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)