Conceptualising fairness: three pillars for medical algorithms and health equity

OBJECTIVES: Fairness is a core concept meant to grapple with different forms of discrimination and bias that emerge with advances in Artificial Intelligence (eg, machine learning, ML). Yet, claims to fairness in ML discourses are often vague and contradictory. The response to these issues within the...

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Detalles Bibliográficos
Autores principales: Sikstrom, Laura, Maslej, Marta M, Hui, Katrina, Findlay, Zoe, Buchman, Daniel Z, Hill, Sean L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753410/
https://www.ncbi.nlm.nih.gov/pubmed/35012941
http://dx.doi.org/10.1136/bmjhci-2021-100459

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753410/
https://www.ncbi.nlm.nih.gov/pubmed/35012941
http://dx.doi.org/10.1136/bmjhci-2021-100459

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