Ethical Redress of Racial Inequities in AI: Lessons from Decoupling Machine Learning from Optimization in Medical Appointment Scheduling

An Artificial Intelligence algorithm trained on data that reflect racial biases may yield racially biased outputs, even if the algorithm on its own is unbiased. For example, algorithms used to schedule medical appointments in the USA predict that Black patients are at a higher risk of no-show than n...

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Detalles Bibliográficos
Autores principales: Shanklin, Robert, Samorani, Michele, Harris, Shannon, Santoro, Michael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584259/
https://www.ncbi.nlm.nih.gov/pubmed/36284736
http://dx.doi.org/10.1007/s13347-022-00590-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9584259/
https://www.ncbi.nlm.nih.gov/pubmed/36284736
http://dx.doi.org/10.1007/s13347-022-00590-8

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