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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Veröffentlicht in:PloS one Jg. 15; H. 8; S. e0235502
Hauptverfasser: Sun, Wenlong, Nasraoui, Olfa, Shafto, Patrick
Format: Journal Article
Sprache:Englisch
Veröffentlicht: United States Public Library of Science 13.08.2020
Public Library of Science (PLoS)
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ISSN:1932-6203, 1932-6203
Online-Zugang:Volltext
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