Google Leverages Machine Learning for Age Estimation to Enhance Child Online Safety
2025-02-12
Google is testing a machine learning model in the US to better determine if users are under 18, enabling more age-appropriate experiences. The model uses data like website visits and YouTube viewing habits. Suspected underage users will have settings adjusted and be offered age verification options (selfie, credit card, or ID). This responds to growing US concerns over online child safety, aligning with legislation like KOSA. Enhanced safety features include SafeSearch and restricted YouTube content. Further parental controls are also being rolled out, including limiting calls/messages during school hours, managing contacts via Family Link, and managing payment cards in Google Wallet.