Certifying fairness in face recognition: what happens when metrics disagree?

Fairness assessment adds another layer of complexity because demographic disparity can appear at several points in a biometric system.

Then comes the next problem: with so many fairness metrics, which one should be used?

This suggests that future guidance should not only define how fairness metrics are calculated.

By contributing to research on the behavior of fairness metrics, Fime is helping build the evidence needed for more robust testing methods and clearer future guidance.

Download the scientific paper to explore how to select the right fairness metrics for robust and reliable biometric evaluations.