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Further remarks on testimonial injustice in medical machine learning

A response to commentaries

Dados Bibliográficos

ID21514396
AutoresGiorgia Pozzi (0000-0001-8928-5513, Delft University of Technology, autor correspondente)
Ano2023
Volume49
Fascículo8
Páginas551-552
Data de publicação2023-08-01
Open AccessNão
TipoARTICLE
PeriódicoJournal of Medical Ethics (JOURNAL)
Identificadores do periódicoISSN: 0306-6800 • E-ISSN: 1473-4257
EditoraBMJ (PUBLISHER • GB)
DOI10.1136/jme-2023-109302
PMID37308279
OpenAlexW4380304050
IdiomaEN
Citações recebidas1
Referências citadas8

Beneficence · Data science · Injustice · Political science · Testimonial · Artificial Intelligence in Healthcare and Education · Computer Science · Ethics in Clinical Research · Ethics in medical practice · Law · Psychology · Social Psychology

  • Machine learning for mental health diagnosis

    Jonathan Mccabe•Journal of Medical Ethics•2026

  • Racial Bias in Perceptions of Others’ Pain

    Open Access•Sophie Trawalter, Kelly M Hoffman et al.•PLoS ONE•2012

  • Automated opioid risk scores

    Open Access•Giorgia Pozzi•Ethics and Information Technology•2023

  • Testimonial injustice in medical machine learning

    George Gillett•Journal of Medical Ethics•2023

  • PDMP causes more than just testimonial injustice

    Tina Nguyen•Journal of Medical Ethics•2023

  • Testimonial injustice in medical machine learning

    Giorgia Pozzi•Journal of Medical Ethics•2023

  • Epistemic Injustice and Illness

    Open Access•Ian James Kidd, Havi Carel•Journal of Applied Philosophy•2016

Citações por ano1
Intervalo de citações2026 - 2026 (1)
Altamente citadoNão

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Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae