Unmasking AI: Informing Authenticity Decisions by Labeling AI-Generated Content
O Burrus, A. Cecil Curtis, Laura Herman
Abstract
The rapid proliferation of artificial intelligence technologies has ushered in a transformative era in content creation, and with it, shifting perceptions of what makes content authentic. The notion of authenticity (i.e., the accuracy, reliability, and trustworthiness of content) becomes particularly fraught in the context of content made using generative AI (GenAI) tools such as DALL-E, ChatGPT, or Adobe Firefly.
Topics & Concepts
Content (measure theory)PsychologyComputer scienceEpistemologyPhilosophyMathematicsMathematical analysisExplainable Artificial Intelligence (XAI)Data Visualization and AnalyticsTopic Modeling