Biometrics can be biased but how biased? Researchers propose a ruler

Researchers in the United States say they have created a statistical method for “rigorous statistical comparison” for spotting differences among demographic groups. Their math would be applicable to fighting bias in biometric algorithms.

Having one or more standard ways to measure bias would be a boon for many AI sectors, but particularly facial recognition, where biases are known to lurk.

The researchers are from Clarkson University and St. Lawrence University, and include prominent figures in biometrics like Michael Schuckers, Charles …

algorithms bias biometric biometric-bias biometric r&d biometrics biometrics news biometrics research can demographic fairness facial recognition fighting math measure researchers standard states stephanie schuckers united united states