From f02c14ee237a234c5bb497a550c1ca5c2841a53f Mon Sep 17 00:00:00 2001 From: ph_ Date: Sat, 24 Jun 2023 12:52:17 -0400 Subject: [PATCH] Update README.md --- README.md | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index a28ef22..64d4581 100644 --- a/README.md +++ b/README.md @@ -334,17 +334,16 @@ Discrimination*](https://link.springer.com/content/pdf/10.1007/s10115-011-0463-8 * [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 Suggested Software +### Lecture 6 Additional Software Tools and Examples * [Awesome Machine Learning Interpretability](https://github.com/jphall663/awesome-machine-learning-interpretability) -### Lecture 6 Suggested Reading +### 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) - * [Eight Principles of Responsible Machine Learning](https://ethical.institute/principles.html) - * [Principles for Accountable Algorithms and a Social Impact Statement for Algorithms](https://www.fatml.org/resources/principles-for-accountable-algorithms) * [Responsible AI Practices](https://ai.google/responsibilities/responsible-ai-practices/)