cnet– “Many facial recognition companies have claimed they can identify people with pinpoint accuracy even while they’re wearing face masks, but the latest results from a study show that the coverings are dramatically increasing error rates.  In an update Tuesday, the US National Institute of Standards and Technology looked at 41 facial recognition algorithms submitted after the COVID-19 pandemic was declared in mid-March. Many of these algorithms were designed with face masks in mind, and claimed that they were still able to accurately identify people, even when half of their face was covered…While every facial recognition algorithm suffered a higher error rate once masks got added, some error rates were as low as 3%, indicating that it’s not impossible for algorithms to identify people even when their faces are covered…”