AI training data must reflect real diversity and control for existing bias Amazon’s recruiting algorithm was trained to eliminate female candidates Instead, it could have been programmed to ignore gender Pedestrian identification algorithms struggle to identify darker skin tones Rather than monitoring success overall, the training data could have weighted dark skin data points more heavily.
