YouTube Introduces New Age Detection System to Safeguard Younger Users

YouTube introduces new age detection system to safeguard underage users so as to ensures safer, age-appropriate content for younger users online. 

In a time when platforms are increasingly concerned about security for users, specifically for those with younger users, YouTube is testing a new age detection feature to improve the safety of its users. 

YouTube is testing out its own new approach to age detection, to calculate the age of a user through the analysis of in-app indicators like videos, browsing history and the account’s age.

The way the System Works

YouTube’s new system is based on machine learning to assess various indicators that can be a sign of a user’s age. This includes the type of videos they search for, the type of content they consume, and how old their accounts are. 

The aim is to more precise categorize users and ensure that children have age-appropriate experiences, while adults get different experiences.

YouTube explained:

“Over the next few weeks, we’ll begin to roll out machine learning to a small set of users in the US to estimate their age, so that teens are treated as teens and adults as adults. We’ll closely monitor this before we roll it out more widely.”

YouTube says that the approach, measuring the above-noted factors, will enable it to infer a user’s age, then use that signal, “regardless of the birthday in the account.”

“We’ve used this approach in other markets for some time, where it is working well. We’re now bringing it to the US, and as we make progress, we’ll roll it out in other markets. We’ll closely monitor the user experience, and partner with Creators to ensure that the entire ecosystem benefits from this update.”

Will it Work?

While the system appears to be sensible in concept, there are some potential problems. It’s not clear how effective studying preferences in videos and accounts age is in determining a person’s age. 

But, considering YouTube’s huge dimension and access to a vast amount of user data, there might be patterns that aid in making better predictions regarding the ages of users.

 YouTube notes that this strategy has been successful in other markets, therefore there’s a reason to be positive.

What does it mean for users?

If the system determines that a person is a teenager and they’ll be automatically switched to content that is appropriate for their age, with additional security. 

People who are incorrectly classified will be given the option to confirm their age with an ID card from a credit or debit card, or even an ID issued by the government.

YouTube added.

“We will only allow users who have been inferred or verified as over 18 to view age-restricted content that may be inappropriate for younger users.”

The Larger Picture

YouTube’s latest system only one of many examples of how platforms are working to overcome the issue of accurately determining ages of users. 

A number of countries, including those in the U.K. with its Online Safety Act which imposes same restrictions and penalties for platforms that don’t adopt effective age-detection strategies. 

This worldwide trend is pushing companies to create their own strategies, which results in a variety of approaches across various platforms.

A Call to Standardization

As every platform is trying to find the best method to determine the age of a user however, the absence of an industry-wide standard framework could result in enforcement challenges. 

A more consistent approach, for instance through apps stores like Google Play and Apple’s App Store, may provide an improved central solution and eliminate inconsistencies across platforms.

The inconsistency between age-detection systems mean there will always be loopholes to be exploited, which makes legal enforcement difficult. As the debate continues it’s evident that the sector requires a more coordinated solution to ensure the safety of users and ensure compliance.

Final Thought

Although Apple and Google have committed themselves to addressing these issues, as addressed previously, absence of an accurate, consistent age verification system leaves a lot of room that could be exploited, causing problems for regulatory implementation.