no code implementations • 14 Oct 2020 • Tom Begley, Tobias Schwedes, Christopher Frye, Ilya Feige
Moreover, motivated by the linearity of Shapley explainability, we propose a meta algorithm for applying existing training-time fairness interventions, wherein one trains a perturbation to the original model, rather than a new model entirely.
no code implementations • ICLR 2021 • Christopher Frye, Damien de Mijolla, Tom Begley, Laurence Cowton, Megan Stanley, Ilya Feige
Explainability in AI is crucial for model development, compliance with regulation, and providing operational nuance to predictions.