30 citations · 45 across the 2 of their papers we have counts for
2 papers
stat.ML2019★ 15 cited
Proposed Guidelines for the Responsible Use of Explainable Machine Learning
Patrick Hall, Navdeep Gill, Nicholas Schmidt
Explainable machine learning (ML) enables human learning from ML, human appeal of automated model decisions, regulatory compliance, and security audits of ML models. Explainable ML…
stat.ML2018★ 30 cited
On the Art and Science of Machine Learning Explanations
Patrick Hall
This text discusses several popular explanatory methods that go beyond the error measurements and plots traditionally used to assess machine learning models. Some of the explanator…