Google plans to implement a machine learning-based age estimation feature on YouTube, designed to identify users under 18 and enforce appropriate age restrictions. This initiative reflects growing concerns regarding child safety online, especially as legislative measures against pre-teens on social media are discussed. By analyzing user behavior, including search patterns and account age, YouTube aims to enhance protections for younger viewers. Testing will commence by the end of this year, with a global rollout anticipated in 2026.
Google's upcoming machine learning model aims to create age-appropriate experiences on YouTube by estimating user ages and applying filters to protect minors.
The feature, to be tested this year, will analyze user behavior and account age to determine if content restrictions are necessary for underage viewers.
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