Titan Shifts Biometrics Verification Towards Equity
Demonstration of Interoperability among Digital Wallets using mDL Specification at OpenID Function
In a groundbreaking move, Titan Assurance, a leading name in quality assurance, has expanded its biometrics testing horizons. This expansion aims to tackle demographic bias, introducing a novel service designed to help developers create technologies that perform consistently across all demographic groups. The driving force behind this innovation is the ISO/IEC 19795-10 standard. This standard focuses on the quantification of biometric system performance variations across different demographic groups.
The standard, which was finalized last November, has paved the way for Titan Assurance's accreditation to test against it during their biannual audit under the National Voluntary Laboratory Accreditation Program (NVLAP) managed by the National Institute of Standards and Technology (NIST).
The newly-introduced test prioritizes demographic categories such as age, gender, and skin tone, employing the Monk scale to determine skin tone variations. By assessing results from each demographic bin and standardizing for differences in subjects per bin, Titan Assurance can evaluate whether the coverage intervals for each bin exhibit comparable performance. This analysis empowers service providers to demonstrate the fairness and equitable performance of their solutions through established metric benchmarks and best practices[1].
This development assumes paramount importance as the escalating adoption of biometric technologies in both government and commercial sectors raises concerns about whether these innovations provide equal functionality for all individuals[1]. By taking a stand against demographic bias, Titan Assurance assures a more inclusive and equitable future for the biometrics sector.
Titan Assurance, in its bid to promote equity in biometrics verification, is now using the ISO/IEC 19795-10 standard to evaluate the performance of biometric systems across various demographic groups, including age, gender, and skin tone. The Monk scale is employed to determine skin tone variations in the tests, with the aim of ensuring fairness and equitable performance of biometric solutions.
