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Google is experimenting with machine-learning powered age estimation tech in theU.S.
Google is testing machine-learning technology in the U.S. to estimate user ages for content filtering across its products. Users under 18 will receive email notifications and have certain features restricted. Similar AI age estimation has been adopted by other platforms, prompting a move towards stricter age-related content regulations from lawmakers.
Key points
- Google is experimenting with machine-learning tech to estimate user age.
- Data from Google accounts (search details, video categories) will guide age estimation.
- Underage users (determined to be under 18) will receive emails informing them about content changes.
- Restrictions for underage users include disabling the timeline in Maps and restricting access to adult-themed apps.
- Digital wellbeing features like break reminders will be activated for underage users.
- Users can appeal age determination decisions by providing ID verification.
- Similar measures have been rolled out on YouTube and experimented in other markets.
- Lawmakers are working on regulations for age gating, with existing laws in several U.S. states.
Why it matters
- The move aligns with the trend of increased data privacy and protection for minors, which has gained traction in recent years.
- Other platforms like Instagram and Roblox are also using AI for age estimation, indicating a wider shift in the tech industry.
- The development coincides with the passing of legislation like the Online Safety Act in the UK, enforcing stricter content regulations for minors.
- Government interest in regulating online content for youth reflects ongoing discussions about the protection of children in digital spaces.
Google's integration of machine-learning age estimation reflects a growing commitment to user safety online while aligning with emerging regulations aiming to protect minors across various digital platforms.