Meta's own AI image detector can't reliably spot photos made by Meta's own AI image generator.
An analysis by Reuters found that cropping a photo generated by Muse Image — Meta's AI image tool — was enough to fool Meta's detection system more than half the time. No sophisticated manipulation required, just a basic edit any phone can do in seconds. The detector, which Meta has positioned as part of its content authenticity effort, failed on images it theoretically had the most reason to recognize.
This matters because platform-level detection is the main fallback when users don't voluntarily label AI content. If a company's detector can't catch its own generator's output after a crop, the credibility of the entire self-policing model takes a hit — and regulators who've been watching AI content disclosure closely will notice.
Meta isn't alone in struggling here; AI detection accuracy is a known industry-wide problem. But there's a particular irony in a system that fails specifically on the images produced in-house, which suggests the detector and the generator were never meaningfully tested against each other.