Meta will use AI to analyze height and bone structure to identify if users are underage

Meta is stepping up its effort to block underage users with a new AI system that analyzes height, bone structure, and other visual cues in photos and videos to estimate whether an account holder is likely under 13. The move is part of a broader “age assurance” push across Facebook and Instagram, and is already rolling out in selected countries such as the United States, with plans to expand to the U.K. and the EU.

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How the AI Age Detection Works

Meta says its AI does not perform traditional facial recognition that identifies specific individuals. Instead, it looks at “general themes and visual cues” in user‑shared content, including:

• Approximate height relative to objects or other people
• Bone and body structure hints (such as limb proportions and posture)
• Overall visual patterns that correlate with age groups

This is combined with text analysis of:

• Bios
• Captions
• Posts and comments mentioning grades, birthdays, or “13th birthday”
• Other age‑related references

Meta claims the system only estimates general age brackets, not precise identities, and is designed specifically to catch accounts under 13 rather than verify adults.

What Happens If an Account Is Flagged

If Meta’s AI suspects an account belongs to a user under 13:

• The account will be suspended or deactivated
• The user will be asked to verify their age through Meta’s age‑verification process
• If they cannot prove they are 13 or older, the account may be permanently deleted

Meta says this process is part of its commitment to keeping children under 13 off Facebook and Instagram, in line with global online‑safety regulations and platform‑age limits.

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Why This Is Different from Traditional Age Verification

Most platforms rely on:

• Self‑reported age at sign‑up
• ID uploads or “age‑gate” prompts after a problem is detected

Meta’s new system is different because it:

• Passively scans existing content (photos, videos, bios, captions)
• Uses AI‑driven height and body‑structure cues instead of facial recognition
• Tries to catch underage accounts sooner, before they spend months on the platform

Critics argue that measuring bone structure and height from casual photos raises privacy, accuracy, and bias concerns, especially for different body types, disabilities, and health conditions.

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Where This Is Rolling Out and What Comes Next

Meta says this visual‑analysis system is live in select countries (including the U.S.) and will expand to more regions, such as the U.K. and the EU, in the coming months. The company is also:

• Testing the system in Facebook Groups and Instagram Live
• Adding new parent‑monitoring and teen‑account features
• Promoting “age‑appropriate” experiences for teens who are allowed on the platform

Going forward, Meta may expand the use of this AI‑based age‑detection tech to more of its apps and content formats, essentially making age assurance a core part of how it handles user data.

How This Affects Users and Parents

For younger users

• Accounts under 13 are more likely to be detected and removed
• Teens near 13 may see more age‑verification prompts
• The overall experience on Instagram and Facebook could feel more restricted as the platform enforces age‑appropriate rules

For parents

• Meta is adding more tools to monitor and restrict teen activity
• Parents may receive notices or alerts when their child’s account is flagged or asked to verify age
• The company is pushing parents to use Family Center and supervised‑teen settings to keep younger users safer

For older users

• Those who are clearly over 18 are unlikely to be affected
• But the move signals that Meta is watching age‑related signals more closely everywhere

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What This Means for AI–Content and AI–Tool Publishers

For AI blogs, tool directories, and safety‑tech coverage:

• This is a real‑world example of AI‑driven age‑detection, not just theory
• Coverage should focus on both potential benefits (keeping kids off adult platforms) and risks (privacy, bias, and over‑enforcement)
• The story is especially relevant for:
  • Kids‑online‑safety articles
  • Fintech/AI‑verification tools
  • Social‑media policy and AI‑regulation writing

Publishers can track:

• How many under‑13 accounts are actually removed
• Feedback from regulators and digital‑rights groups
• How Meta responds to criticism about body‑structure analysis

FAQ

What exactly is Meta scanning?

Meta’s AI is scanning photos, videos, bios, posts, and comments for visual cues like height and bone structure, plus text that hints at age, to estimate whether an account holder is under 13.

Is this facial recognition?

Meta says no. The company emphasizes that it analyzes general visual themes, not specific faces, and does not identify the exact person in the image.

What happens if someone is flag as under 13?

The account is typically suspended, and the user must verify their age (often by uploading ID or confirming documents). If they cannot prove they are 13 or older, the account may be deleted.

Where is this system active?

It is currently live in select countries, including the U.S., with plans to expand to the U.K. and EU and to more app features over time.

Why are people worried about it?

Concerns include:

• Privacy (analyzing body structure from photos)
• Accuracy and bias (how well it works across body types and disabilities)
• Over‑blocking (legitimate teens or smaller‑framed adults mistakenly flagged)

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Final Thoughts

Meta’s move to use AI‑driven height and bone‑structure analysis is a clear signal that AI‑assisted age assurance is moving into the core of social‑media enforcement. Instead of relying only on ID uploads or self‑reports, the company is now using AI to actively infer age from how people look and what they say.

For creators, regulators, and readers, this raises familiar but urgent questions:

• How much body‑based inference is acceptable?
• Where should the line be drawn between safety and surveillance?

As AI‑based age detection spreads, this will likely become one of the most visible and controversial battlegrounds in online‑safety policy.