A new AI detection tool ​from Meta, which the tech company previewed this week alongside the launch of its image-generation model, Muse ‌Image, failed to identify some of its own AI-generated images once they were cropped, according to a Reuters analysis. The finding highlights the challenges of verifying AI-generated images after common alterations, a limitation that could make it harder to identify deepfakes online during a busy election year that ​includes the U.S. midterms. In an analysis of 40 images generated using Muse Image, Reuters found the detection ​tool verified all of the original AI-generated images but failed to verify 55% of ⁠the same images after they were cropped to approximately one-third to one-half of their original size. On its website, opens new tab, Meta says ​the preview detection tool can identify its own AI-generated images, even if they are cropped, through an invisible watermarking ​system called Content Seal, which is embedded in every image generated by Muse Image and designed to help users verify whether it was created by Meta’s AI models.

Full analysis : Meta AI image detector fails to identify some of its own cropped AI images.