Biometric data security partnership announced between Trust Stamp and Partisia, with Trust Stamp also joining a bank-focused accelerator program.
Revamped: iBeta dives into demographic bias testing for biometrics
Hey there! Here's the scoop on iBeta's latest venture: they're diving headfirst into the realm of biometric testing to combat demographic bias in biometric systems.
So, what's this new service all about? Basically, it's a testing ground for developers to ensure that their biometric systems don't fail some demographic groups more than others. This new service conforms to the ISO/IEC 19795-10 standard, which centers around measuring variations in biometric system performance among different demographic aspects like age, gender, and skin tone (using the Monk scale).
But how does it work, you ask? Well, iBeta conducts a 19795-10 conformance test, which builds upon their existing 19795-2 performance testing by gathering extra data to beef up the demographic categories. The findings are then scrutinized to ascertain if the system's performance remains stable across these categories, thus identifying potential bias in the system.
This move is essential as the popularity of biometric tech continues to surge in both the public and commercial sectors. With this testing service, iBeta is ensuring fairness and equity across the board, which is crucial for all parties involved.
But wait, there's more! iBeta is accredited to test against the 19795-10 standard through NIST's National Voluntary Laboratory Accreditation Program (NVLAP), so you know this testing service is the real deal.
That's about it, folks! Now, let's keep our fingers crossed for a fair and unbiased future with biometric technology!
[1] Reference removed for brevity. Original sources available upon request.
In the realm of biometrics, iBeta's latest initiative involves employing technology to carry out demographic bias testing, ensuring that biometric systems remain unbiased towards various demographic groups, specifically considering factors like age, gender, and skin tone.
For developers, this service offers a platform to test the performance of their biometric systems across different demographic categories, ultimately striving for stability and fairness in biometric technology.
