Meta is deploying an AI system to scan photos and videos to identify and remove users under 13 years old [1].
This move represents a significant escalation in how social media platforms monitor user demographics. By shifting from self-reported birth dates to biometric and contextual AI analysis, Meta is attempting to close a long-standing loophole that allows millions of children to bypass age restrictions.
According to company announcements made on May 5, 2026 [2], the AI will analyze visual cues to determine if a user is underage. These markers include the presence of birthday cakes in images, and the analysis of a user's height and bone structure [1, 2]. The system will be active across both Instagram and Facebook worldwide [1].
Meta said the initiative is designed to enforce its existing policy that users must be at least 13 years old [1]. The company is also responding to increasing regulatory pressure to curb the number of underage accounts on its platforms [1].
The AI will look for patterns in uploaded media that suggest a user has not yet reached the age threshold [3]. This includes scanning for specific objects associated with childhood, and analyzing physical development markers to estimate age [2].
While Meta has historically relied on age-verification prompts, those methods were often bypassed by users providing false birth dates. The new AI-driven approach allows the company to monitor accounts passively, flagging profiles that do not match the age claimed during registration [3].
Meta said the rollout is part of a broader effort to ensure platform safety and compliance with global regulations regarding the protection of minors online [1].
“Meta is deploying an AI system to scan photos and videos to identify and remove users under 13 years old.”
Meta's transition to biometric and contextual AI for age verification signals a shift toward more invasive monitoring to satisfy global regulators. By analyzing bone structure and physical cues, the company is moving beyond administrative data and into the realm of automated physical profiling. This may set a precedent for other platforms to use biometric analysis as a standard for compliance, potentially raising new privacy concerns regarding how such data is stored and processed.
