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Five Mistakes You'll Make With the Children's CodePrivacy Regulations
6 min readFor Chief Privacy Officers

Five Mistakes You'll Make With the Children's Code

The ICO's Age Appropriate Design Code isn't limited to social media platforms and gaming companies. If your service collects data online, you're likely covered, even if children aren't your target demographic. This is where many privacy teams stumble.

The code outlines 15 standards for online services. While awaiting parliamentary approval, companies are already trying to figure out what compliance looks like. The issue isn't a lack of good intentions. It's the predictable mistakes rooted in outdated assumptions about what qualifies as a "children's service."

Why These Mistakes Keep Happening

Most privacy frameworks treat children's data as a special category needing extra consent or parental controls. The Age Appropriate Design Code changes that model. It assumes children will use your service unless you can prove otherwise, requiring you to build protections into your design from the start.

This shift surprises teams. You're used to asking, "Do we need parental consent?" The code forces you to ask, "Have we designed this assuming a 13-year-old might use it?" These are fundamentally different questions requiring different compliance strategies.

Mistake 1: Assuming You're Not Covered Because You Don't Target Children

Your terms of service say users must be 18+. Your marketing targets professionals. You've never thought of yourself as a children's service.

None of that matters if children can access your platform.

The code applies to "information society services" likely to be accessed by children. That's a broad test. If a child could reasonably create an account or interact with your service, you're in scope. Consider a productivity app marketed to remote workers. If it's free, has a mobile version, and doesn't verify age at signup, a 14-year-old could use it to organize homework. You're covered.

The fix: Run an access likelihood assessment. Document who can technically access your service, not just who you want to access it. Look at your signup flow, payment requirements, interface complexity, and content type. If children could use it without lying about their age or bypassing technical barriers, assume the code applies. Then decide whether to implement age assurance or design for mixed-age audiences.

Mistake 2: Treating Age Verification as the Compliance Solution

Age gates seem like the obvious answer. Add a birthday field at signup, block anyone under 18, problem solved.

But the code doesn't require you to exclude children. It requires you to protect them if they're present. Age verification is one option, but it's not a universal fix, and it creates new risks. Collecting birthdates expands your data inventory. False declarations are common. Verification vendors introduce third-party processors.

More importantly, age gating might not align with your service's purpose. If you run an educational resource or a general-interest news site, excluding children contradicts your mission.

The fix: Treat age assurance as a design choice, not a compliance checkbox. Ask whether your service benefits from knowing users' ages or whether you can simply design for the youngest likely user. If you choose age verification, document why it's proportionate to your processing risks. If you design for mixed ages, default to the highest privacy settings and disable data-sharing features for all users unless they affirmatively opt in. Article 25 GDPR already requires data protection by design; the code just makes the standard explicit for children.

Mistake 3: Applying Adult Consent Models to Children

You're comfortable with consent management. You have a preference center, granular toggles, and clear notice language. You assume you can adapt that framework for younger users.

But consent doesn't work the same way for children. The code requires you to turn off profiling, behavioral advertising, and location tracking by default. "Nudge techniques" that encourage data sharing are prohibited. Even if a child clicks "agree," that consent may not be valid if your interface used design patterns that exploit developmental vulnerabilities.

This is where most teams underestimate the implementation lift. Your existing consent infrastructure probably assumes users can make informed choices. The code assumes children can't, and it shifts the burden to you to prove your defaults are protective.

The fix: Audit your consent flows for design patterns that rely on reciprocity, urgency, or social proof. Remove countdown timers, peer comparison messages, and reward systems tied to data sharing. For features that require consent, use plain language tested with your youngest likely users. Better yet, ask whether you need consent at all. If you can deliver your service without profiling or geolocation, disable those features by default for everyone. That's simpler than maintaining parallel consent paths.

Mistake 4: Siloing the Code as a Privacy-Only Initiative

Your privacy team owns GDPR compliance, so they own the children's code too. Engineering gets a ticket to add an age gate. Marketing gets guidance on ad networks. Everyone else continues as usual.

This approach fails because the code isn't just about data protection. It's about design. Standard 2 requires you to consider the best interests of the child. Standard 4 addresses transparency. Standard 8 covers data minimization, but Standard 9 covers data sharing, Standard 10 covers geolocation, and Standard 11 covers parental controls. Compliance touches product design, user research, content moderation, third-party integrations, and default settings.

If privacy runs this alone, you'll get technical compliance but miss the design intent. Your age gate works, but your interface still uses dark patterns. Your data Retention Rule is documented, but your recommendation algorithm still optimizes for engagement over safety.

The fix: Treat the code as a cross-functional design standard, not a legal requirement. Bring product, engineering, legal, and privacy into a working group. Map each of the 15 standards to your service's features. Identify where defaults need to change, where interfaces need redesign, and where third-party vendors need replacement. Assign ownership outside privacy for standards that touch UX, algorithms, or content. Privacy should coordinate, but product should own the design changes.

Mistake 5: Waiting for Parliamentary Approval to Start

The code requires parliamentary approval before it takes effect. That timeline is uncertain. Some teams are using the delay as justification to postpone action.

That's a miscalculation. First, the code reflects existing GDPR principles, data minimization, purpose limitation, data protection by design. If you're not meeting those standards for children now, you're already exposed. Second, the code signals where global regulation is heading. California's Age-Appropriate Design Code Act explicitly references the ICO's framework. If you operate internationally, you're likely to face similar requirements in other jurisdictions.

Third, design changes take time. Reworking default settings, replacing ad networks, and testing new interfaces can take quarters, not weeks. If you wait for parliamentary approval to start planning, you'll be scrambling during implementation.

The fix: Treat the current draft as your baseline and start gap analysis now. Map your service against the 15 standards. Identify high-risk areas, profiling, geolocation, data sharing with third parties, nudge techniques in consent flows. Prioritize changes that align with GDPR Article 25 regardless of the code's status. Build a phased roadmap that doesn't depend on a single regulatory deadline. If the code changes during approval, you'll adjust specific requirements. But the design direction is clear.

Prevention Checklist

  • Document whether children can technically access your service, regardless of your target audience
  • Decide whether to implement age assurance or design for mixed-age users; document the rationale
  • Audit consent flows for nudge techniques, dark patterns, and design elements that exploit developmental vulnerabilities
  • Disable profiling, behavioral advertising, and geolocation by default; require affirmative Consent
  • Map the 15 standards to your service's features and assign cross-functional ownership
  • Identify third-party vendors that don't meet the code's data-sharing requirements
  • Test interface language and privacy notices with your youngest likely users
  • Build a phased implementation roadmap that doesn't depend on parliamentary approval timing
  • Review whether your changes improve GDPR Article 25 compliance for all users, not just children

The Age Appropriate Design Code isn't just a UK regulation. It's a template for how privacy frameworks will treat design accountability going forward. Get ahead of it now, and you'll be ready when similar standards appear in other jurisdictions.

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