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Equal accuracy for Andrew and Abubakar-detecting and mitigating bias in name-ethnicity classification algorithms.
Lena Hafner
,
Theodor Peter Peifer
,
Franziska Sofia Hafner
Mar 17, 2023
UNLABELLED: Uncovering the world's ethnic inequalities is hampered by a lack of ethnicity-annotated datasets. Name-ethnicity classifiers (NECs) can help, as they are able to infer people's ethnicities from their names. However...
AI fairness audit
Algorithmic bias
Artificial Intelligence
Critical tech
Ethnic inequalities
Machine Learning
Name-ethnicity-classification
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