Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135)

  • Xiaolin Wu, Xi Zhang
  • Published 2016
We study, for the first time, automated inference on criminality based solely on still face images. Via supervised machine learning, we build four classifiers (logistic regression, KNN, SVM, CNN) using facial images of 1856 real persons controlled for race, gender, age and facial expressions, nearly half of whom were convicted criminals, for discriminating… CONTINUE READING