mlsanityData to 14 Oct 2026

Limitations of Pinned AUC for Measuring Unintended Bias

arXiv 1903.02088 ↗First posted 5 Mar 2019stat.ML cs.LGcited by 4

Not on the map. Why?

Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Mar 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2022: 1; 2023: 1; 2024: 0; 2025: 0; 2026: 2.

4 papers.