MIT hopes to automatically 'de-bias' face detection AI

There have been efforts to fight racist biases in face detection systems through better training data, but that usually involves a human manually supplying the new material. MIT's CSAIL might have a better approach. The code can scan a data set, understand the set's biases, and promptly resample it to ensure better representation for people regardless of skin color. The technology won't necessarily iron out all biases, but the results can be significant. In testing, MIT's system reduced "categorical bias" by 60 percent without affecting the precision. It also promises to save time, especially for larger data collections that are time-consuming.