AI Constitution

External Resource

Towards a Rigorous Science of Interpretable Machine Learning

Doshi-Velez & Kim (arXiv, 2017)

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Position paper proposing definitions and a taxonomy for rigorously evaluating interpretability in machine learning.

Theses this informs