Google to Use Machine Learning to Estimate User Age

Google is stepping up its efforts to ensure age-appropriate online experiences by testing a machine learning model in the U.S. to determine whether a user is under 18.

In a recent blog post, the company announced that it is leveraging artificial intelligence to estimate users’ ages based on their online activity. This system analyzes factors such as the websites a user visits, the types of videos they watch on YouTube, and how long they have had an account.

How the Age Estimation Model Works

The concept was first introduced by YouTube CEO Neal Mohan, who emphasized the importance of creating a safer digital space for young users. When the model detects that a user might be under 18, Google will send a notification prompting them to update their settings. Additionally, users will be given verification options such as uploading an ID, entering credit card details, or taking a selfie.

Google is integrating this system with existing safety measures like the SafeSearch filter, which automatically removes explicit content from search results. Similarly, YouTube will impose stricter content restrictions for underage users. The company has also hinted that this AI-powered age verification technology will gradually expand to other countries.

New Parental Control Features Coming Soon

In addition to age estimation, Google is rolling out enhanced parental control features next week. One key update, the School Time mode, will allow parents to limit phone calls and notifications during school hours. Starting next month, parents will also be able to control who their children can contact via the Family Link app, ensuring that calls and messages are restricted to approved numbers.

Furthermore, Google is introducing a new feature that lets parents add and manage payment cards on their child’s Google Wallet. This means children using Android devices will soon be able to make purchases in stores with Google Wallet.

Beyond these updates, Google is expanding young users’ access to AI-driven educational tools such as NotebookLM and Learn About, designed to enhance their learning experience.

The Bigger Picture: AI and Child Safety in Tech

The push for child safety has become a major focus in the tech industry, with companies facing increasing regulatory and public pressure. Google is not alone in adopting AI-based age verification—Meta and TikTok have also implemented similar models. Meanwhile, platforms like Roblox, Discord, OpenAI, and Google’s own child safety initiative, Roost, are actively working to create a safer digital environment for younger users.

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