Deepfakes: Curbing the spread of misinformation

Improved technology and the 24-hour nature of our online world means it's becoming increasingly difficult to judge if the media we consume is sincere or genuine. Deepfakes, which are synthetic videos and audio recordings, generated using artificial intelligence, are becoming common and have the potential to be malicious. The main method for creating them involves the training of a generative adversarial network (GAN). This is a type of machine learning (ML) framework where two neural networks compete against each other. One network (a generator) creates deepfaked video candidates and the other network (a discriminator) tries to classify the candidates as either real or fake.