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Trading off accuracy and explainability in AI decision-making: findings from 2 citizens' juries.
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.
Afiliación
  • van der Veer SN; Centre for Health Informatics, Division of Informatics, Imaging and Data Science, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Riste L; NIHR Greater Manchester Patient Safety Translational Research Centre, School of Health Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Cheraghi-Sohi S; Division of Pharmacy and Optometry, School of Health Sciences, The University of Manchester, Manchester, UK.
  • Phipps DL; NIHR Greater Manchester Patient Safety Translational Research Centre, School of Health Sciences, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK.
  • Tully MP; Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, The University of Manchester, Manchester, UK.
  • Bozentko K; Division of Pharmacy and Optometry, School of Health Sciences, The University of Manchester, Manchester, UK.
  • Atwood S; Division of Pharmacy and Optometry, School of Health Sciences, The University of Manchester, Manchester, UK.
  • Hubbard A; Jefferson Center, Saint Paul, Minnesota, USA.
  • Wiper C; Jefferson Center, Saint Paul, Minnesota, USA.
  • Oswald M; Information Commissioner's Office, Wilmslow, UK.
  • Peek N; Information Commissioner's Office, Wilmslow, UK.
J Am Med Inform Assoc ; 28(10): 2128-2138, 2021 09 18.
Article en En | MEDLINE | ID: mdl-34333646
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Participación de la Comunidad Tipo de estudio: Diagnostic_studies / Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Participación de la Comunidad Tipo de estudio: Diagnostic_studies / Prognostic_studies / Qualitative_research Límite: Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: Reino Unido Pais de publicación: Reino Unido