Is It Certainly a Deepfake? Reliability Analysis in Detection & Generation Ecosystem
NeutralArtificial Intelligence
The rise of deepfakes has sparked significant concern about online trust, as these advanced generative models create increasingly realistic synthetic content. While deepfake detectors have been developed to combat misinformation, their misuse can exacerbate the problem by mislabeling real content as fake or vice versa. This article presents a thorough uncertainty analysis of deepfake detectors, shedding light on their reliability and the complexities involved in distinguishing between real and synthetic media. Understanding these dynamics is crucial as society navigates the challenges posed by digital misinformation.
— Curated by the World Pulse Now AI Editorial System
