Combining demographic attributes with visual context in fairness audits reveals worst-group accuracy gaps up to 26 percentage points that aggregate and demographic-only evaluations miss.
Multimedia Tools and Applications 81(29), 42457–42482 (2022) 2
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CIFA: Contextual-Intersectional Fairness Auditing for Hidden Subgroup Discovery in Face Analysis
Combining demographic attributes with visual context in fairness audits reveals worst-group accuracy gaps up to 26 percentage points that aggregate and demographic-only evaluations miss.