65 citations · 287 across the 12 of their papers we have counts for
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cs.LG2020★ 3 cited
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms
Gareth P. Jones, James M. Hickey, Pietro G. Di Stefano +3
Understanding and removing bias from the decisions made by machine learning models is essential to avoid discrimination against unprivileged groups. Despite recent progress in algo…
cs.LG2020
Fairness by Explicability and Adversarial SHAP Learning
James M. Hickey, Pietro G. Di Stefano, Vlasios Vasileiou
The ability to understand and trust the fairness of model predictions, particularly when considering the outcomes of unprivileged groups, is critical to the deployment and adoption…