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Access the national legal database directly, carrying out searches, queries, and offering feedback on legal documents, all made possible using Vietnam’s VNeID.

Title: iBeta broadens biometrics audits to tackle demographic bias issue

Paragraph 1: iBeta Quality Assurance has broadened its biometrics testing services to tackle the persistent issue of demographic bias. This move is intended to assist developers in guaranteeing that their biometric systems work equally for various demographic groups [1].

Paragraph 2: The new testing service follows the ISO/IEC 19795-10 standard, which concentrates on quantifying disparities in biometric system performance across demographic categories such as age, gender, and skin tone [1].

Paragraph 3: Key features of this expansion include compliance with the ISO/IEC 19795-10 standard, which offers a blueprint for assessing a biometric system's functionality among diverse populations. The testing scrutinizes performance across age, gender, and skin tone using the Monk scale for accurate results [1].

Paragraph 4: Analyzing the outcomes, iBeta normalizes the results for differences in number of subjects within each demographic category, allowing them to identify system performance discrepancies across these groups [1]. iBeta's accreditation under NIST's National Voluntary Laboratory Accreditation Program (NVLAP) adds credibility to the testing [1].

Paragraph 5: With this expansion, iBeta aims to encourage fairness and equity in biometric technologies, a demand that is on the rise, particularly in the governmental and commercial sectors [1]. iBeta hopes to help biometric solution providers showcase the fairness and balance of their systems [1].

In adherence to the ISO/IEC 19795-10 standard, iBeta's new biometrics testing service assesses the functionality of a biometric system across diverse populations, considering factors like age, gender, and skin tone, thereby aiming to promote health-and-wellness and fairness in the science and technology of biometrics. This expanded service is a significant step towards ensuring that biometric technologies, particularly in the governmental and commercial sectors, are free from demographic bias.

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