Researchers develop an AI algorithm that can identify gang members based on Twitter posts

Researchers at the Wright State University claim that they have developed  a deep learning artificial intelligence algorithm that can identify street gang members based solely on their Twitter posts. The algorithm, which is said to have a 77% accuracy rate, is trained on a database of ‘gang member’ Twitter profiles that were previously identified by the researchers, based on a subjective interpretation of their tweets. There are, however, concerns that the algorithm’s shortcomings can lead to unintended consequences such as identifying individuals as gang members only because they enjoy rap music.