Meta Uses AI To Improve Age Verifications

When Meta announced its latest AI integrations, including access to its Muse AI bot for a seamless online experience, we weren’t sure exactly what the impact would be on user safety and security.

However, it appears that Meta is doing all it can to improve the online safety of younger users, by using its AI technology to further estimate the age of users, identify those using fake birth dates, and filter their experience accordingly. 

How Does Age Estimation Affect the User Experience?

The biggest impact is undoubtedly on younger users and teenagers, who will find their experience filtered to content which is deemed appropriate for their age category. If Meta’s AI suspects, for example, that an Instagram user is younger than their profile might imply, it will restrict their access to certain topics and forms of content and protect them from sharing personal information – putting them in the category of a younger user. 

This is part of a wider commitment to ensuring that social media is as safe as possible for younger users, while still allowing them to access the content that interests them and that they find valuable. 

For creators whose audience is younger users, the increase in filtering and age estimation technology means that tailoring content is more important than ever. To ensure that your content is not hidden from your target audience and that you achieve sustainable view figures, you need to be more attuned than ever to content tags and their impact on the algorithm. Appealing to a younger audience means not only creating content that they will find entertaining, but also now acknowledging the impact of increased AI content filtering. 

Is this something that will affect your content creation and strategy?