Meta Deploys AI System to Detect Underage Users Through Physical Analysis

Meta has implemented an artificial intelligence system that analyzes physical characteristics like height and bone structure to identify underage users on its platforms. The technology is currently being tested in select countries with plans for wider expansion.

Meta has introduced a new artificial intelligence-powered visual analysis system designed to identify users who may be underage by examining physical characteristics visible in images or video content. The system analyzes factors such as height and bone structure to determine whether an account holder is likely a minor.

The technology represents Meta's latest effort to enhance age verification across its social media platforms, including Facebook, Instagram, and other services. Rather than relying solely on self-reported age data, which has proven unreliable, the company is turning to machine learning to detect underage users attempting to circumvent age restrictions.

Currently, the AI system is operational in a limited number of countries as Meta tests its effectiveness and reliability. The company has indicated that if the initial deployment proves successful, it plans to roll out the technology more broadly across its global user base. Meta has emphasized that the system is part of a comprehensive approach to child safety on its platforms.

The move comes as Meta faces continued scrutiny regarding how it protects younger users from harmful content and predatory behavior. Regulators and child safety advocates have increasingly pressured the tech giant to implement stronger safeguards, and this AI-based approach is positioned as a proactive measure to prevent minors from accessing age-restricted features and spaces.

The company has not yet disclosed specific details about the accuracy rates of the system or provided a timeline for full global implementation, though representatives have indicated that ongoing refinement of the technology is underway.