Readings for Week 10

Reading these is not required. These are more of additional reading materials for people to get some more depth, if they like, after the lecture.

Explanation in Artificial Intelligence: Insights from the Social Science:

https://arxiv.org/pdf/1706.07269.pdf

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

https://arxiv.org/pdf/1811.10154.pdf

Explainability Fact Sheets: A Framework for Systematic Assessment of Explainable Approaches

https://arxiv.org/pdf/1912.05100.pdf

Interpretable Machine Learning

https://christophm.github.io/interpretable-ml-book/