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arxiv: 1903.02088 · v1 · pith:2M7DY3O5new · submitted 2019-03-05 · 📊 stat.ML · cs.LG

Limitations of Pinned AUC for Measuring Unintended Bias

classification 📊 stat.ML cs.LG
keywords biasmetricpinnedunintendedlimitationsreportbiasescarefully
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This report examines the Pinned AUC metric introduced and highlights some of its limitations. Pinned AUC provides a threshold-agnostic measure of unintended bias in a classification model, inspired by the ROC-AUC metric. However, as we highlight in this report, there are ways that the metric can obscure different kinds of unintended biases when the underlying class distributions on which bias is being measured are not carefully controlled.

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