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With the release of iOS 27.2, Apple has introduced the option to submit a selfie for age estimation as an option to comply with age verification laws in certain regions.

For adult website operators, January 1, 2027 should already be driving decisions about technology, staffing, content acquisition and recordkeeping.

With the release of iOS 27.2, Apple has introduced the option to submit a selfie for age estimation as an option to comply with age verification laws in certain regions.

by Le Monde

Photo ID, digital ID, bank checks and face scans: Ofcom sets out how platforms can confirm users are 16. Adults will be checked too.

Apple’s iOS 27.2 introduces selfie-based age estimation in the UK and selected markets, while developers can decide whether to accept Apple’s age signal or require separate checks.

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Greece has passed a social media ban for kids under 15 after announcing the measure earlier this year.

Apple has released the iOS 27.2 operating system update, which introduces a new age-verification feature using selfies. The tool was developed as a privacy-focused alternative to existing verification methods, such as scanning an identity document or using a credit card. Geography and Terms of Use The new feature is driven by stricter legal requirements for […] Post Selfies Instead of Documents: iOS 27.2 Introduces a New Age-Verification System at Root-Nation.com.

Apple introduced a novel facial assessment framework in its latest software update. Specifically, the Apple selfie age verification feature enables individuals to confirm adult status seamlessly. When an application demands proof of adulthood, users may capture facial angles for automated evaluation. Furthermore, machine learning models execute evaluations across the local device and Private Cloud Compute. Consequently, the operating system unifies these calculated insights locally while safeguarding personal privacy.

Apple introduced a novel facial assessment framework in its latest software update. Specifically, the Apple selfie age verification feature enables individuals to confirm adult status seamlessly. When an application demands proof of adulthood, users may capture facial angles for automated evaluation. Furthermore, machine learning models execute evaluations across the local device and Private Cloud Compute. Consequently, the operating system unifies these calculated insights locally while safeguarding personal privacy.