A far-reaching government analysis of the most widely used facial recognition algorithms found most of them appeared to suffer from racial bias, misidentifying Asian- and African-Americans far more often than Caucasians. The study released Thursday is the largest ever of its kind. It amplifies concerns artificial intelligence algorithms don’t treat individuals equally. Other research performed by academia and government investigators has shown facial-recognition algorithms sold by numerous tech companies fail to identify minorities...

Source: Wall Street Journal December 20, 2019 02:03 UTC