A US government study suggests facial recognition algorithms are far less accurate at identifying African-American and Asian faces compared to Caucasian faces. African-American females were even more likely to be misidentified, it indicated. It throws fresh doubt on whether such technology should be used by law enforcement agencies. One critic called the results "shocking". The National Institute of Standards and Technology (Nist) tested 189 algorithms from 99 developers, including Intel, Microsoft, Toshiba, and Chinese firms Tencent and DiDi Chuxing.

The iPhone X's facial recognition system fails on the first attempt at the unveiling of the latest handset on Tuesday in California. Apple's VP of software engineering, Craig Federighi, had to switch to a backup phone in order to demonstrate the face-unlocking feature after describing its ease of use