 Which type of person is likely to receive the most brutal treatment in the legal system, compared to the other response options?
We know that paedophiles, murderers and other violent criminals come in many shapes and sizes. A recent paper, published by Xiaolin Wu and Xi Zhang of Shanghai's Jiao Tong University, claims to be the first to use machine learning and neural networks to attempt a fully automated inference of criminality from facial images, removing prejudice from the equation and testing the validity of our gut feelings. Through a study of 1,856 images ("controlled for race, gender, age and facial expression") they claim to have established the validity of "automated, face-induced inference on criminality, despite the historical controversy surrounding this line of enquiry." In other words, they believe that they've found a relationship between looking like a criminal and actually being one.
 suspicious faces
 masculine faces  sharp-featured faces  overfamiliar faces  suspicious faces