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Controversy over the unveiling of Facial Recognition Technology (FRT) employed by New Jersey police forces moves to the State Supreme Court.

Hopeful organizations are planning to have the Supreme Court support past decisions, relying on the legal precedent established by the State v. Arteaga case.

Hopeful organizations believe the Supreme Court will maintain past verdicts, following the legal...
Hopeful organizations believe the Supreme Court will maintain past verdicts, following the legal precedent established by the State v. Arteaga case.

Controversy over the unveiling of Facial Recognition Technology (FRT) employed by New Jersey police forces moves to the State Supreme Court.

Title: iBeta's Biometrics Testing Extends to Demographic Fairness

In a significant stride, iBeta Quality Assurance, a leading name in the field, has extended its biometrics testing services. The focus of this expansion is squarely on eliminating demographic bias in biometric systems, following the ISO/IEC 19795-10 standard. This standard concentrates on quantifying variations in biometric system performance among diverse demographic groups. The standard was finalized in November 2024, with iBeta earning accreditation to test against it under the National Voluntary Laboratory Accreditation Program (NVLAP).

The new demographic bias test from iBeta is designed to maintain fairness and equity across various demographic categories—age, gender, and skin tone. This is accomplished by examining the performance of biometric systems across multiple demographic groups and comparing coverage intervals to detect bias.

Given the rising adoption of biometric technologies in both government and commercial sectors, iBeta's focus on demographic fairness assumes critical importance. This emphasis empowers providers to prove the fairness and equity of their solutions by establishing relevant metrics and best practices.

Furthermore, iBeta maintains its standing as a trusted testing institution for biometric technologies, with involvement from leading global companies. Its testing services are also utilized in compliance tests, such as the iBeta Level 2 compliance test for Presentation Attack Detection (PAD), which companies like Sumsub have successfully passed.

[1] By establishing relevant metrics and best practices, providers can demonstrate the fairness and equity of their solutions.

[2] Other companies, like Sumsub, have successfully passed the iBeta Level 2 compliance test for Presentation Attack Detection (PAD).

[3] iBeta continues to collaborate with leading global companies as a reputable testing institution for biometric technologies.

Augmenting its biometrics testing services, iBeta focuses on incorporating artificial-intelligence (AI) to ensure the fairness and equity of solutions, adhering to the ISO/IEC 19795-10 standard. This AI technology aids in quantifying variations in biometric system performance across diverse demographic categories, such as age, gender, and skin tone.

The application of AI-enablest technology in biometrics software enhances its ability to cope with the diverse needs of users, aligning with the rising adoption of biometric technology in various sectors. This progressive development guarantees a more inclusive and balanced user experience.

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