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Shahbazi et al., 2023 - Google Patents

Representation bias in data: A survey on identification and resolution techniques

Shahbazi et al., 2023

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Document ID
5167525016396842469
Author
Shahbazi N
Lin Y
Asudeh A
Jagadish H
Publication year
Publication venue
ACM Computing Surveys

External Links

Snippet

Data-driven algorithms are only as good as the data they work with, while datasets, especially social data, often fail to represent minorities adequately. Representation Bias in data can happen due to various reasons, ranging from historical discrimination to selection …
Continue reading at arxiv.org (PDF) (other versions)

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