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Meta Deploys New AI Age Assurance Tools to Identify Underage Users

AI age assurance

Meta has launched a new age assurance system that utilizes AI visual analysis to identify and remove users under the age of 13 from its platforms. The technology, which began rolling out in the United States this week, aims to improve safety for younger users by verifying their actual age through physical and contextual markers rather than relying solely on self-reported birth dates.

The new AI age assurance system employs visual analysis to scan photos and videos for physical indicators such as height and bone structure. Meta stated that this process does not use biometric facial recognition, a decision made to maintain user privacy while still achieving accurate age estimation. Beyond physical traits, the AI models also examine profile context, including mentions of specific school grades or birthday celebrations, to detect instances where a user might be misrepresenting their age.

How Meta Uses AI Age Assurance

The deployment of these tools follows a push for more rigorous safety measures across social media. Meta confirmed that the technology is active in the US as of May 2026, with a broader release scheduled for the United Kingdom and European Union in June 2026. To support these automated efforts, the company has also simplified the reporting process for underage accounts, using AI-driven reviews to resolve these reports more quickly than previous manual methods.

While Meta is implementing these on-platform solutions, the company is also advocating for broader industry changes. Meta has called for new legislation that would require app stores to manage age verification at the operating system level. This approach would shift the responsibility of age checks to the device and store level, potentially creating a more uniform standard for all mobile applications.

Users in the US can expect to see these measures in effect immediately, while international users will see the rollout continue through the end of next month.

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