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AI

SCOPED-Hiring: detecting process unfairness in AI hiring

2026-09-04

SCOPED-Hiring: detecting process unfairness in AI hiring
Photo: Travis Isaacs (CC BY 2.0)

A paper by Yiran Zhao and colleagues, accepted at EMNLP 2026 with a current arXiv manuscript dated September 2, diagnoses the process unfairness that hides behind outcomes, using more than 311,000 trajectories.

The evaluation is in a simulated setting, and the repair effect is author-reported.

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