Methods for Detecting Structured Artificial Intelligence Content
In the face of advancing digital media technologies, AI experts share how fake content can be distinguished using unrealistic shadows, water physics, and reverse image search methods.
As artificial intelligence systems continue to evolve, making it increasingly difficult to distinguish between the real and the fake, experts have shared key tips to watch out for in order to identify AI-generated images and videos.
Developments in Artificial Intelligence Technology
As AI systems become increasingly sophisticated, distinguishing the real from the fake is getting harder. Jaclyn Ocumpaugh, an AI researcher at the University of Houston, describes this situation as a race akin to trying to stay ahead of the next level of machines.
Visual Flaws and Shadows
Ocumpaugh points out that attention can be paid to elements like natural-looking shadows, which AI systems have not yet fully mastered. She states that shadows still contain details that can be noticed by the human eye and that AI cannot yet fully reflect the laws of physics.
Unrealistic Conditions in Water Physics
It is pointed out that water movements in AI-generated content may differ from real life. It is stated that water splashes may not look as realistic as expected, and the liquid may move more slowly or splash higher compared to real life.
Reverse Image Search Method
Kerem Inal, an ABC News Visual Verification Producer, emphasizes that people should remain vigilant and question suspicious content. Stating that online reverse image search is one of the tools that can be used at home, Inal notes that the authenticity of an image can be verified through this method.