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Bosses like to watch. Workers being biometrically surveilled want to walk

The same problems causing friction for users of AI-based proctoring software are plaguing employees who are subject to surveillance as…

 

The rise of ethical facial recognition

Facial recognition offers tremendous benefits to businesses and society when used effectively and responsibly. It’s a convenient way to unlock…

 

The rise of ethical facial recognition

Download this eBook and learn about how facial recognition works, the ethical challenges associated with the technology, and how Oosto…

 

Using and storing biometric data: Scrutinizing practices of banks and governments

By Ján Lunter, the Founder and CEO of Innovatrics  Biometric technologies are becoming the go-to security technology in the government and…

 

Speechmatics says dramatic speech recognition bias reduced with unlabelled training data

Speechmatics has developed a speech recognition model that it says improves accuracy in understanding groups that have typically been challenging for…

 

Disclose facial recognition in discovery, no live biometric surveillance: City police chiefs

The use of facial recognition technology in criminal investigations should be included in discovery disclosures made by police departments during…

 

Promise of knowledge distillation for debiasing biometric PAD discussed in EAB event

The innovative technique for training machine learning models known as ‘knowledge distillation’ is showing promise for mitigating bias in biometric…

 

AI skeptics to lawmakers: Resist the urge to solve AI bias with more tech

European privacy advocates think it is a mistake for governments to believe more technology can make AI fair to all…

 

Lawsuit filed over allegations of Uber face biometrics bias

A former Uber driver who lost his job after the company’s face biometric identity verification system failed to recognize him…

 

DHS suggests face biometrics bias reduction method, quantifies demographic effects

Removing facial features associated with race and gender can make face biometric algorithms less likely to confuse people with others…

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