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False-Positive Rate (FMR)

Definition

In biometric verification: the probability that a comparison of images of two different individuals is incorrectly declared a match. In forensic identification, an elevated FMR for a demographic group creates a disproportionate risk that innocent members of that group will be presented as candidate matches to investigators.

Context
Biometric verification and demographic bias assessment
Formula
Probability a different-person comparison is called a match
Bias concern
FMR can vary by demographic group at a fixed threshold
Consequence
Innocent people wrongly surfaced as candidate matches

Common questions

Why does an FMR gap between demographic groups matter operationally?+

If a system's FMR is higher for one demographic at the threshold in use, members of that group face a higher chance of being wrongly flagged as a candidate match than others, even though the system's overall reported accuracy looks acceptable.

Can demographic FMR differences be fixed by simply lowering the threshold?+

A single global threshold change reduces false matches for everyone but does not close a gap between groups, and it raises false non-matches across the board; addressing a demographic disparity typically requires evaluating performance per subgroup, not just adjusting one overall setting.

Related terms

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Disparate Impact
A legal and statistical concept describing a policy or practice that has a disproportionate adverse effect on a protected group, regardless of...
EU AI Act Art 10 (Training Data Requirements)
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Fitzpatrick Scale
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Gender Shades (2018)
Study by Joy Buolamwini and Timnit Gebru published at FAccT 2018 that measured accuracy disparities in three commercial face-recognition APIs across intersectional...
NIST FRVT (Face Recognition Vendor Test)
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Robert Williams Case (2020)
First publicly documented wrongful arrest in the US attributed to a face-recognition false positive: Detroit police arrested Robert Williams, a Black man,...

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