Face Recognition Vendor Test Part 3¶
Grother, P., Ngan, M., & Hanaoka, K. Face Recognition Vendor Test Part 3: Demographic Effects.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- False-Capture Audit
- Setup to outcome: the headline "accuracy" survives, but the audit surfaces that among one nationality the false-capture rate is several times the baseline — a realized specificity gap invisible in the operator's own reporting.
This sourceNISTIR 8280. National Institute of Standards and Technology (2019). Reports large country-of-birth differentials in false-positive face-recognition rates and warns that aggregate accuracy summaries can hide those operational demographic gaps.
- Setup to outcome: the headline "accuracy" survives, but the audit surfaces that among one nationality the false-capture rate is several times the baseline — a realized specificity gap invisible in the operator's own reporting.
Verification¶
This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.
Registry ID ref:6f47bab5178e · see in the full table