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Evolution and impact of bias in human and machine learning algorithm interaction

Traditionally, machine learning algorithms relied on reliable labels from experts to build predictions. More recently however, algorithms have been receiving data from the general population in the form of labeling, annotations, etc. The result is that algorithms are subject to bias that is born fro...

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Bibliografski detalji
Izdano u:PLoS One
Glavni autori: Sun, Wenlong, Nasraoui, Olfa, Shafto, Patrick
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2020
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7425868/
https://ncbi.nlm.nih.gov/pubmed/32790666
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0235502
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