Update README.md

README.md

@@ -161,18 +161,9 @@ Corrections or suggestions? Please file a [GitHub issue](https://github.com/jpha
 * [Lecture Notes](tex/lecture_6.pdf)
 * [Assignment 6 (Final Assessment)](assignments/tex/assignment_6.pdf)
 * Reading: [_Machine Learning for High-Risk Applications_](https://pages.dataiku.com/oreilly-responsible-ai), Chapter 1 and Chapter 12
+* [Lecture 6 Additional Materials](additional_materials/am6.md)
 
-### Lecture 6 Additional Software Tools and Examples
-
-* [Awesome Machine Learning Interpretability](https://github.com/jphall663/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*](https://www.mdpi.com/2078-2489/11/3/137)
-  * [NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework)
-  * [Interagency Guidance on Model Risk Management (SR 11-7)](https://www.federalreserve.gov/supervisionreg/srletters/sr1107a1.pdf)
-  * [Responsible AI Practices](https://ai.google/responsibilities/responsible-ai-practices/)
+***
 
 ## Lecture 7: Risk Mitigation Proposals for Language Models