They argued that, despite massive improvements in deep-learning techniques, federal testing shows that most facial recognition algorithms perform poorly at identifying people besides White men.

Demographic bias gaps are closing in face recognition, but how training images are sourced is becoming the field’s biggest privacy fight.

AI-based tracking systems use innovative technologies such as facial recognition, machine learning, and computer vision for identifying and locating missing persons.

Police around the US say they're justified to run DNA-generated 3D models of faces through facial recognition tools to help crack cold cases. Everyone but the cops thinks that’s a bad idea.

Deep learning algorithms are notorious for requiring large amount of training examples to perform simple tasks such as detecting objects in images.