Deepfake detectors and datasets exhibit racial and gender bias, USC study shows

Some experts have expressed concern that machine learning tools could be used to create deepfakes, or videos that take a person in an existing video and replace them with someone else's likeness. The fear is that these fakes might be used to do things like sway opinion during an election or implicate a person in a crime. Already, deepfakes have been abused to generate pornographic material of actors and defraud a major energy producer. Fortunately, efforts are underway to develop automated methods to detect deepfakes. Facebook -- along with Amazon and Microsoft, among others -- spearheaded the Deepfake Detection Challenge, which ended last June.