Meta announced the implementation of an artificial intelligence system to detect users under the age of 13 on Instagram and Facebook. The technology will start operating on Brasil, Estados Unidos and União Europeia from now on. The system analyzes visual characteristics such as height and bone structure present in photos and videos, in addition to contextual profile information, to estimate age without resorting to traditional facial recognition.
The company developed this solution in response to regulatory and security pressure that demands more robust protection of minors on digital platforms. Diferentemente from other social networks that request selfies or identification documents, Meta chose to analyze content and visual characteristics already available in user accounts.
Como artificial intelligence identifies minors
Meta’s AI continuously scans photos and videos for visual clues about users’ ages. The system is not limited to just physical characteristics. Ele processes posts, comments, bios, and captions to find contextual cues that indicate whether a person is underage.
Entre the indicators analyzed include mentions of birthdays, references to school grades, typical language of minors and digital behavior patterns specific to this age group. The technology is being expanded to other sections of the applications, including Instagram Reels, Instagram Live, and Facebook groups. The system works through multiple layers of analysis, combining visual and textual evidence to suggest the user’s likely age.
Consequências for accounts identified as belonging to minors
Quando to Meta detects that an account belongs to a user under 13 years old, the platform automatically deactivates this account. The user receives notification about the action and has the opportunity to prove their age by sending a valid identification document. Sem this proof, the account remains deactivated and can be deleted completely.
The company recognizes that verifying age online presents a complex challenge. Muitos minors are able to create accounts by providing false dates of birth during registration. For this reason, Meta understands that continuous analysis of content and behavior is necessary to complement the checks carried out at the time of account creation. The process is not instantaneous, as Meta performs periodic analysis of accounts while the system continually learns from new data.
Why Meta does not use facial recognition
The decision not to use facial recognition marks a difference in relation to other social media platforms. Muitas competitors adopt required selfies or photo ID requests for age verification. Essas approaches raise questions about privacy and biometric data collection.
Meta argues that its solution is less invasive from a privacy perspective. Instead of capturing facial biometric data, the system analyzes content that users already voluntarily publish. The company claims that this methodology offers adequate protection without the need for centralized biometric records. Ainda thus, critics argue that the analysis of bone structure and height from public images extracts biometric data in a less obvious way, in addition to involving scanning of user conversations, themes and relationships.
Implementação global and regulatory context
The launch of this technology occurs at a time of intense debate about the regulation of social networks and the protection of minors. Brasil has regulations such as Lei Geral, Proteção, Dados (LGPD) and is advancing specific legislation for child safety online. Na União Europeia, Digital Services Act regulations pressure platforms to demonstrate concrete measures to protect minors. Nos USA, several states have passed laws requiring stricter age verification on social media.
- Brasil intensified discussions about protecting minors online following cases of child abuse and exposure.
- Meta positions this technology as a response to global regulatory requirements in each jurisdiction.
- Sistema will be implemented respecting the privacy and data protection regulations of each region.
Desafios and limitations of the technology
Nenhum age detection system is perfect. Características physical characteristics vary significantly between individuals, and the analysis of bone structure has a margin of error, especially in adolescents with different body developments. Contextual analysis also faces challenges, as adult users may name schools or mention birthdays in ways that simulate minors.
AI needs to be continually trained to not discriminate against users of different ethnicities, genders and body types. Estudos show that artificial intelligence systems often present bias when analyzing visual characteristics. Outro’s challenge involves user experience: legitimate adults may have their accounts erroneously disabled if they post content with characteristics that the AI interprets as indicators of underage status. Embora allows the company to send documentation to prove age, the process can generate frustration and abandonment of accounts by genuine adult users.
Children’s Segurança and trends on digital platforms
Meta’s initiative is part of a broader trend among digital platforms to increase protection mechanisms for minors. Pesquisas document significant risks of exposure to inappropriate content, online predators, and harm to children’s mental health on social media. Instagram has historically faced particular criticism over its impact on teenagers, with studies showing a correlation between heavy use of the platform and self-esteem issues, anxiety and eating disorders in minors.
Meta later launched wellness and screen time limitations features, but continued to receive pressure to implement access barriers for under-13s. Age verification through artificial intelligence represents a strategy to demonstrate a concrete response to these criticisms. Embora is not a complete solution for all online risks, the measure signals the company’s commitment to regulatory compliance and child protection on digital platforms.