Human Detection of Machine-Manipulated Media
This new capacity for scalable manipulation raises the question of how prepared people are to detect manipulated media.
Human Detection of Machine-Manipulated Media Read MoreTag: Deepfake Detecting
Deepfake Detecting is the process of detecting deepfake media.
Deepfakes (a portmanteau of “deep learning” and “fake”) are synthetic media in which a person in an existing image or video is replaced with someone else’s likeness. While the act of faking content is not new, deepfakes leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content with a high potential to deceive. The main machine learning methods used to create deepfakes are based on deep learning and involve training generative neural network architectures, such as autoencoders or generative adversarial networks (GANs).
Deepfakes have garnered widespread attention for their uses in creating child sexual abuse material, celebrity pornographic videos, revenge porn, fake news, hoaxes, and financial fraud. This has elicited responses from both industry and government to detect and limit their use.
—Wikipedia, “Deepfake“
WIRED25: Stories of People Who Are Racing to Save Us
Humanity is facing thorny problems on all fronts. These folks are working to solve them—and trying to avoid the unintended consequences this time.
WIRED25: Stories of People Who Are Racing to Save Us Read More