A team of researchers at the Norwegian University of Science and Technology have identified that the algorithms used to associate stored facial data with an actual face are susceptible to natural feature changes due to ageing. If no new images of a face are captured, it would take as little as five years of ageing before facial recognition systems lose their ability to identify individuals. The research created 50,000 AI-generated human faces and aged them synthetically to see how facial recognition systems would cope using open-source facial recognition tools. The team discovered that the accuracy of algorithms dropped over time as age increased, with five years being the point at which identification started to fail.
What is this page?
You are reading a summary article on the Privacy Newsfeed, a free resource for DPOs and other professionals with privacy or data protection responsibilities helping them stay informed of industry news all in one place. The information here is a brief snippet relating to a single piece of original content or several articles about a common topic or thread. The main contributor is listed in the top left-hand corner, just beneath the article title.
The Privacy Newsfeed monitors over 300 global publications, of which more than 5,750 summary articles have been posted to the online archive dating back to the beginning of 2020. A weekly roundup is available by email every Friday.
