Education
Today's podcast delves into the mind-bending world of Deep Fakes. Deep Fakes are AI-based machine learning technologies which can seamlessly map 'source' moving-image onto 'target' moving-image, typically used to map one persons face onto another persons body, often used in news, politics, pornography and art. Artist Max Mauro Schmid, discusses how this is done technically, and debates some of the epistemological ramifications of this with Professor Hans Bernhard. What happens when we experience these generated clips? Are we able to perceive their uncanny nature? Are notions of fake and real really useful in trying to parse these moving-images? Are the critical faculties required to live in a world in which binary constructions have broken down a cognitive burden? Links: https://www.theguardian.com/commentisfree/2019/jul/23/to-fix-the-problem-of-deepfakes-we-must-treat-the-cause-not-the-symptoms https://www.creativebloq.com/features/deepfake-examples