Artificial Intelligence develops a neural network that can separate criminals and non-criminals by their mugshots.
It might sound like a scene from Minority Report, but it is not. Scientists from Shangai Jiao Tong University identified offenders with an accuracy of 89.5 percent via machine-vision algorithms. The study named ‘Automated Inference on Criminality’ is the first automated work that takes account of criminality in relation to still pictures of faces.
Artificial intelligence learns the common facial features of criminals
Criminologists integrate latest technologies to collect detailed data to identify criminals. According to Xiaolin Wu and Xi Zhang, scientists who ran the study, their method is straightforward.