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Moving beyond “algorithmic bias is a data problem”

A surprisingly sticky belief is that a machine learning model merely reflects existing algorithmic bias in the dataset and does not itself contribute to harm. Why, despite clear evidence to the contrary, does the myth of the impartial model still hold allure for so many within our research community...

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Detalles Bibliográficos
Autor principal: Hooker, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085589/
https://www.ncbi.nlm.nih.gov/pubmed/33982031
http://dx.doi.org/10.1016/j.patter.2021.100241