Google plans to implement a new feature that utilizes machine learning to determine if a user is under 18 years old. This initiative aims to restrict access to adult content on YouTube, enhancing child safety on the platform.
Age Estimation Model
The machine learning-based age estimation model will analyze user behavior to predict age. Factors such as search queries, video categories, and account age will inform the model’s predictions. For instance, users searching for topics like mortgage lending may be flagged as likely over 18.
Implementation Timeline
YouTube will begin testing this feature by the end of 2025, with a global rollout expected in 2026. If the model determines a user is underage, standard age-appropriate protections will be activated, including blocking explicit content.
Additional Child Safety Features
In conjunction with this initiative, Google is expanding its School Time feature from smartwatches to Android phones. This tool will allow parents to manage app access during school hours, ensuring children can focus on their studies while still being able to communicate with emergency contacts.
Moreover, the Android Family Link app will soon enable parents to approve or deny contacts on their children’s devices, limiting communication to approved individuals. This feature is anticipated to launch in the coming months.
Broader Context
Google’s efforts come as the US Senate considers legislation aimed at restricting social media access for pre-teens. Other tech companies, such as Meta, are also exploring similar moderation tools to identify underage users on their platforms.
For more information, visit the original article at Engadget.