Researchers, advocates make case for more inclusive digital ID systems in ID4Africa Livecast
Researchers on digital ID-related issues as well as digital rights advocates and civil society campaigners have deplored existing gaps that…
Search Results for: Yevgeniy Sirotin
DHS suggests face biometrics bias reduction method, quantifies demographic effects
Removing facial features associated with race and gender can make face biometric algorithms less likely to confuse people with others…
DHS finds masks cause jump in face biometrics errors for some races
A third of the facial recognition systems tested by the U.S. Department of Homeland Security showed accuracy rates meeting a…
Practical problems in biometric fairness, coming ISO standard explored in EAB webinar
New wrinkles to the problem of biometric bias, the development of standards for assessing it, and strategies for assessing and…
NIST plans for further biometrics bias evaluation unveiled in EAB webinar
Despite major gains in biometric matching accuracy in facial recognition systems across all demographic groups over the past several years,…
Demographic fairness in biometric systems
Demographic fairness in biometric systems EAB Online Seminar March 9 to March 30, 2021 The European Association for Biometrics (EAB)…
EAB virtual events to examine biometric systems’ demographic fairness
The European Association of Biometrics (EAB) has unveiled the schedule for its first series of online events slated for March…
Biometrics experts discuss facial recognition research on demographic effects and bias
Many if not all commercial facial recognition algorithms seem to share common roots that make them susceptible to demographic performance…
Face biometrics researchers find possible route to better accuracy across races, genders
A sampling of commercial facial recognition algorithms seems to suggest that face biometrics systems are currently too dependent on certain…
Researcher discusses facts related to media narratives about facial recognition ‘bias’
“Biometric performance is nuanced and cannot be reduced to generalizations like ‘bias’,” reads a LinkedIn article by Yevgeniy Sirotin, PhD,…
