Why are smart cars mistaken, and is it worth it to trust?
When recognizing faces of dark -skinned women, recognition systems are mistaken in almost 35% of cases. For example, artificial intelligence, which controls the system of bank credit scoring, more often “refuses” the African Americans. If earlier the human factor was based on such incidents, now it is BIAS (distortion, bias) in the data. How these errors arise, experts of the popular science magazine Harvard Business Review found out .