“Just” accuracy? Procedural fairness demands explainability in AI-based medical resource allocations

The increasing application of artificial intelligence (AI) to healthcare raises both hope and ethical concerns. Some advanced machine learning methods provide accurate clinical predictions at the expense of a significant lack of explainability. Alex John London has defended that accuracy is a more i...

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Detalles Bibliográficos
Autores principales: Rueda, Jon, Rodríguez, Janet Delgado, Jounou, Iris Parra, Hortal-Carmona, Joaquín, Ausín, Txetxu, Rodríguez-Arias, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Open Forum
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9769482/
https://www.ncbi.nlm.nih.gov/pubmed/36573157
http://dx.doi.org/10.1007/s00146-022-01614-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9769482/
https://www.ncbi.nlm.nih.gov/pubmed/36573157
http://dx.doi.org/10.1007/s00146-022-01614-9

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