Trading off accuracy and explainability in AI decision-making: findings from 2 citizens’ juries

OBJECTIVE: To investigate how the general public trades off explainability versus accuracy of artificial intelligence (AI) systems and whether this differs between healthcare and non-healthcare scenarios. MATERIALS AND METHODS: Citizens’ juries are a form of deliberative democracy eliciting informed...

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Detalles Bibliográficos
Autores principales: van der Veer, Sabine N, Riste, Lisa, Cheraghi-Sohi, Sudeh, Phipps, Denham L, Tully, Mary P, Bozentko, Kyle, Atwood, Sarah, Hubbard, Alex, Wiper, Carl, Oswald, Malcolm, Peek, Niels
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522832/
https://www.ncbi.nlm.nih.gov/pubmed/34333646
http://dx.doi.org/10.1093/jamia/ocab127

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522832/
https://www.ncbi.nlm.nih.gov/pubmed/34333646
http://dx.doi.org/10.1093/jamia/ocab127

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