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Heads Up! iBeta expands biometrics testing to combat demographic bias
Got some exciting news about iBeta Quality Assurance! They've stepped up their game by expanding their biometric testing services to combat demographic bias in the technology field.
With the addition of a new testing service, developers can now ensure their biometric systems perform equally well across various demographic groups. The service is based on the ISO/IEC 19795-10 standard, which focuses on quantifying biometric system performance variation across categories such as age, gender, and skin tone.
Recently, iBeta was accredited for conducting tests under this standard during the biannual audit under the National Voluntary Laboratory Accreditation Program (NVLAP). The testing aims to analyze bias by comparing the performance of biometric solutions across different demographic bins, after normalizing for subject differences per bin.
This move allows providers to demonstrate fairness and equitability in their solutions through established metrics and best practices. By adhering to these standards, they can ensure their technology isn't unfairly disadvantaging certain groups[1].
So, that's the lowdown! iBeta is helping to create a more inclusive world, one biometric test at a time. Now let's hope others follow suit!
Key Takeaways:
- ISO/IEC 19795-10 Standard: A standard focused on quantifying biometric system performance variation across demographic groups.
- Demographic Categories: Testing focuses on age, gender, and skin tone using the Monk scale.
- Accreditation: iBeta is accredited under NIST’s NVLAP for conducting these tests.
- Purpose: To ensure biometric systems perform equally well for all individuals, promoting fairness and equitability through established metrics and best practices.
The new biometric testing service offered by iBeta aligns with the ISO/IEC 19795-10 standard, aiming to quantify biometric system performance across age, gender, and skin tone demographic categories. This technology-driven initiative underscores the importance of general-news topics, such as combating demographic bias in the technology field.
