Dataset Biases and Shortcut Learning in Motion-Based AI-Generated Video Detection
This study tested four motion-based AI video detectors and found their high reported accuracy is inflated by biases in how they were trained and tested. Detectors exploited dataset quirks, such as different frame rates or resolution processing, rather than learning true differences between real and synthetic motion.