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PreCoF: counterfactual explanations for fairness

This paper studies how counterfactual explanations can be used to assess the fairness of a model. Using machine learning for high-stakes decisions is a threat to fairness as these models can amplify bias present in the dataset, and there is no consensus on a universal metric to detect this. The appr...

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Detalles Bibliográficos
Autores principales: Goethals, Sofie, Martens, David, Calders, Toon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047477/
https://www.ncbi.nlm.nih.gov/pubmed/37363047
http://dx.doi.org/10.1007/s10994-023-06319-8