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Manchester authorities criticized for negligent data management following the misplacement of closed-circuit television recordings.

UK's Information Commissioner's Office criticizes Greater Manchester Police (GMP) for significant flaws in managing CCTV recordings.

UK Information Commissioner's Office criticizes Greater Manchester Police for significant flaws in...
UK Information Commissioner's Office criticizes Greater Manchester Police for significant flaws in managing CCTV footage.

Manchester authorities criticized for negligent data management following the misplacement of closed-circuit television recordings.

Diversifying Biometric Testing with iBeta

Hey there! Let's dive into the latest news from iBeta, who's shaking things up in the world of biometrics. They've just expanded their testing services to tackle demographic bias, and it's a big deal.

The new service, in line with the ISO/IEC 19795-10 standard, aims to make sure that biometric systems function equally for various demographic groups. This standard is all about measuring performance shifts within biometric systems across different categories, like age, gender, and skin tone, using the Monk scale[1].

David Yambay, iBeta's Deputy Director of Biometrics, spills the beans on their innovative expansion. According to him, it's an extension of their existing 19795-2 performance testing, but with a wider range of subjects to boost demographic representation. The objective? Compare results by demographic bins, balance the differences, and check if coverage intervals are consistent across the bins to detect bias[1].

iBeta's credibility doesn't just stop at talking the talk. They were recently accredited to test against the 19795-10 standard during their standard bi-annual audit under NIST's National Voluntary Laboratory Accreditation Program (NVLAP). This accreditation underscores their dedication to promoting fairness in biometric technologies[1].

This move from iBeta highlights a growing demand for fair and unbiased biometric solutions, particularly in the government and commercial sectors[1]. So, it's safe to say that diversity and fairness in biometrics are becoming a non-negotiable prerequisite in today's tech-savvy world. Keep your eyes peeled for more updates in this exciting field!

[1] Enrichment Insight: The Monk scale is a method used to evaluate the impact of demographic factors like skin tone on the performance of biometric systems. iBeta's commitment to addressing demographic bias in biometrics was recognized during their standard bi-annual audit under NIST's National Voluntary Laboratory Accreditation Program (NVLAP). The increasing demand for fair biometrics is particularly evident in the government and commercial sectors.

  1. With their recent expansion, iBeta is using biometrics technology to ensure fairness and address demographic bias in biometric systems, a development that is gathering momentum in the general-news sector, particularly in the government and commercial domains.
  2. The new service provided by iBeta, which adheres to the ISO/IEC 19795-10 standard, involves testing various demographic groups using the Monk scale to measure performance shifts across age, gender, and skin tone, contributing significantly to the crime-and-justice discourse by promoting equity in biometric technology.

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