Making Original 2D Visual Deepfakes With a Generative AI Tool

Abstract

In the research and popular literature, there are many concerns about the deepfakes that may be generated using generative AI and other tools to mislead people and to compromise them in various ways through deception. This work explores the nature of deepfakes, generative AI, and manual and computational and combined means to identify (and neutralize) potential deepfakes, as described in the academic literature. Deepfakes may have positive effects as well to enhance human creativity and to expand the toolkit for digital making. This work also explores how to create a credible (non-malicious) 2D visual deepfake using a popular generative AI tool to understand some affordances and constraints for this particular “use case”. For this basic work, the idea is only to trick the eyes, not the more in-depth detection methods based on computation.