ID Tech Digest – September 26, 2024
Welcome to ID Tech’s digest of identity industry news. Here’s what you need to know about the world of digital identity and biometrics today: Identity Industry Shrugs Off the Politics […]
Welcome to ID Tech’s digest of identity industry news. Here’s what you need to know about the world of digital identity and biometrics today: Identity Industry Shrugs Off the Politics […]
Face-based stadium access has come to Kansas City’s Kauffman Stadium, in the form of the “MLB Go-Ahead Entry” system. The move means that interested baseball fans can take advantage of […]
Fime, the French security consulting and testing agency, has become the first European lab to be accredited under the US National Institute of Standards and Technology (NIST)’s National Voluntary Laboratory Accreditation Program […]
“Organizations must defend against generative AI deepfakes to prevent digital impersonation of their employees and end-users using trusted identity reverification with strong, Liveness-proven biometrics.” – Kevin Alan Tussy, CEO, FaceTec […]
The Defence and Security Accelerator (DASA) of the United Kingdom’s Home Office has initiated a new Market Exploration focused on Facial Recognition (FR) technologies intended for policing and security applications. […]
“Now, the NPL study on NEC’s technology offers further evidence that the racial bias problem can be ameliorated, and even eliminated.” After years of intense debate over facial recognition’s shortcomings, […]
Meta has announced a new, open-source dataset for AI training that the company is hoping will reduce the kind of demographic bias that has been documented by researchers at the […]
ID R&D now has independent test results that attest to the integrity of its liveness detection system. The evaluation looked for possible bias in ID R&D’s IDLive Face solution, which […]
“In achieving zero-error performances across a range of age groups (and male and female genders), Paravision is not only doing its part to reduce AI bias in facial recognition, but […]
The NIST is advocating for a more nuanced understanding of bias in AI. The organization noted that bias has historically been understood as a technological concern, in the sense that […]
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