Meta has announced the global expansion of its artificial intelligence-based age detection technology across Instagram, Facebook, and Threads. This initiative is designed to identify users who may be under 18 years old, even if they have registered with an adult birth date, thereby strengthening protections for younger individuals.
Enhanced Safeguards for Teen Accounts
The primary goal of this expanded AI age detection is to bring more teenagers under Meta's comprehensive Teen Account safeguards. These protections introduce crucial restrictions, including limitations on who can contact young users, regulated access to certain content, and controls over the amount of time spent on the platforms. Similar safeguards are also being implemented on Facebook and Messenger.
Broader Age Verification Efforts
Beyond AI, Meta is integrating additional methods for age estimation. In Australia, the company has begun incorporating Apple’s age-range signal as another source of information. Furthermore, parents in the United States are set to receive notifications this month explaining Teen Account protections and guiding them on how to ensure their children’s ages are accurately recorded on Instagram.
Responding to Legal Pressures
This significant expansion of Meta's age detection capabilities comes amid increasing legal scrutiny and mounting challenges concerning the impact of social media on young users. The company recently reached settlements totaling up to $18 billion with nearly every U.S. state and territory in lawsuits alleging harm to teenagers. These agreements included commitments to improve the identification of underage users.
Last month, Meta also settled a high-profile case involving a teenage plaintiff who claimed Instagram and Facebook were designed to encourage addictive use, leading to mental health issues and an eating disorder. By making age-based protections harder to bypass, Meta aims to demonstrate its commitment to user safety. The ultimate effectiveness of this AI-based age estimation will hinge on its accuracy in distinguishing teenagers from adult users.