Cargando…
“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...
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: | |
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 |
Ejemplares similares
-
Expert views about missing AI narratives: is there an AI story crisis?
por: Chubb, Jennifer, et al.
Publicado: (2022) -
Towards an effective transnational regulation of AI
por: Gervais, Daniel J.
Publicado: (2021) -
AI, big data, and the future of consent
por: Andreotta, Adam J., et al.
Publicado: (2021) -
Emotional AI and the future of wellbeing in the post-pandemic workplace
por: Mantello, Peter, et al.
Publicado: (2023) -
AI-based healthcare: a new dawn or apartheid revisited?
por: Parfett, Alice, et al.
Publicado: (2020)