Google is developing a new machine learning-based age estimation technology to ensure user safety and filter content by age.
What is Google’s Age Estimation Technology?
Google is experimenting with a machine-learning-based system designed to accurately determine user age. This is necessary to filter content and tailor user experience, particularly for younger audiences. The technology analyzes a range of data points, such as search queries and YouTube viewing history, to estimate user age without requiring explicit declarations.
How Does AI Age Verification Work?
The new system utilizes advanced AI capabilities to estimate age based on user behavior. If the model identifies a user as possibly under 18, they receive a notification regarding potential changes to their Google services. In some cases, direct age verification may be needed, such as with photos of identification.
Measures for Protecting Youth Online
Google will implement several changes for users under 18, including disabling the timeline feature in Google Maps, prohibiting personalized ads, and restricting access to adult-themed apps in the Play Store. Notifications for taking breaks and reminders for sleep will also be introduced to promote digital well-being.
Google's experiment with user age estimation sets new standards for online youth protection. Balancing privacy and accuracy, the company aims to create a safer internet environment for younger users.
