Thinking beyond faces, deep learning techniques were being applied to systems trained to detect skin cancer or to detect pedestrians to be used in self-driving cars. If those datasets were also skewed, it could mean AI cancer detectors would not work well for groups of people underrepresented in the dataset. It would mean automated vehicles would be more likely to crash into some groups of people than others.
