Abstract: AI-generated audiovisual media has gathered significant attention from the news, social media platforms, security experts and governments alike. Since 2017, these realistic-seeming videos and audio have been referred to as “deepfakes”. The significance of deepfakes is explained by three elements. First, we overview capabilities and accessibility of the technology, and its trend towards commodification. Second, we discuss real-world cases of weaponization and other near-term consequences. Third and finally, we consider the technological countermeasures currently being investigated by the community. Throughout the workshop, we will go into the details of several state of the art techniques for the creation and detection of deepfakes.
Bio: Matthew Kenney is a researcher, developer, and designer. His work centers on the intersection of technology, design, and critical software development. He is a researcher at Duke University in Computational Media Arts and Cultures, where he teaches classes on machine learning, software development and interaction design. His research areas include machine learning, race, society and information studies. He holds a Bachelor’s of Science from Cornell University and a Masters in New Media from Penn State University.