Detecting shortcut learning for fair medical AI using shortcut testing

Machine learning (ML) holds great promise for improving healthcare, but it is critical to ensure that its use will not propagate or amplify health disparities. An important step is to characterize the (un)fairness of ML models—their tendency to perform differently across subgroups of the population—...

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Detalles Bibliográficos
Autores principales: Brown, Alexander, Tomasev, Nenad, Freyberg, Jan, Liu, Yuan, Karthikesalingam, Alan, Schrouff, Jessica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354021/
https://www.ncbi.nlm.nih.gov/pubmed/37463884
http://dx.doi.org/10.1038/s41467-023-39902-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10354021/
https://www.ncbi.nlm.nih.gov/pubmed/37463884
http://dx.doi.org/10.1038/s41467-023-39902-7

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