21 citations · 44 across the 3 of their papers we have counts for
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cs.LG2020★ 21 cited
Explainability for fair machine learning
Tom Begley, Tobias Schwedes, Christopher Frye +1
As the decisions made or influenced by machine learning models increasingly impact our lives, it is crucial to detect, understand, and mitigate unfairness. But even simply determin…
cs.LG2020★ 12 cited
Shapley explainability on the data manifold
Christopher Frye, Damien de Mijolla, Tom Begley +3
Explainability in AI is crucial for model development, compliance with regulation, and providing operational nuance to predictions. The Shapley framework for explainability attribu…