Been experimenting with these tools lately to see how well they hold up under real world conditions. when testing clean, uncompressed AI outputs on an AI detector, the detection rates are fairly high. However, once you introduce real world variables like uploading to social media, taking screenshots or minor cropping, the confidence scores shift noticeably. Im now thinking how these tools should actually be used. If truth scan flags an image as 85% AI, is that strong enough to act as proof, or is it strictly a secondary signal alongside visual inspection? How do you tell whether an image is ai generated when detector scores conflict with visual artifacts? submitted by /u/South_Researcher_456
Originally posted by u/South_Researcher_456 on r/ArtificialInteligence