How should organisations handle children’s data in privacy reviews?

How children’s data changes a privacy review

Children’s data needs a stricter privacy lens because minors are more exposed to profiling, persuasive design, and long-term harm from data collected too early or used too broadly. Privacy reviewers should treat age as a material context, not a checkbox, and challenge whether the processing would still be justified if the data subject were a child rather than an adult.

That means asking whether the purpose is genuinely necessary, whether the disclosure is understandable to a child or guardian, and whether the system can operate with less data, shorter retention, or tighter defaults. Where AI or profiling is involved, the review should examine whether the output could influence a child’s opportunities, autonomy, or vulnerability.

What good review questions look like

A useful review starts with purpose and necessity. If the same business outcome can be achieved with less intrusive collection, child-specific review should push the design toward minimisation rather than convenience. The question is not only whether the processing is lawful in the abstract, but whether it is proportionate for a minor’s context and expected understanding.

Reviewers should also look at the full journey of the data, including notice, consent or parental involvement where relevant, sharing, profiling, retention, and deletion. The most common failure is treating a child-facing service like a standard consumer service and assuming general privacy language, generic defaults, or broad consent covers the added sensitivity.

For services that use recommendation systems, behavioural profiling, or AI-enabled personalisation, the review should ask whether the system is creating a higher-risk environment by inferring traits, nudging engagement, or revealing sensitive patterns. The privacy question is not only what data is collected, but what is inferred from it and who can act on those inferences.

Safeguards that should be explicit in the review

Children’s data reviews should require stronger safeguards around transparency, access control, retention limits, and human oversight. A child-oriented design often needs simpler notices, stricter default settings, careful age-appropriate language, and tighter limits on onward use or secondary sharing.

It is also important to document the decision trail. Reviewers should record why the processing is needed, what less intrusive options were considered, and which safeguards reduce the residual risk. That documentation matters because child-related processing is more likely to be questioned later by regulators, parents, schools, or internal governance teams.

Where profiling or automated decision-making is part of the service, the review should confirm that safeguards are not only written into policy but implemented in the product. A privacy review is weak if it approves a child-related feature without checking whether the actual user experience, defaults, and data flows match the intended protections.

Risk and Threat Considerations

Children’s data raises elevated exposure because mistakes can persist for years, and profiling can create unfair or intrusive outcomes before the child can meaningfully understand or contest them. The risk increases when data is repurposed, combined across services, or used to optimise engagement in ways that are hard for families to see.

Failure mechanism: Organisations over-collect, over-share, or over-retain children’s data, then rely on generic privacy controls that were designed for adults. AI-driven profiling, weak defaults, or broad third-party sharing can turn a limited service need into a durable behavioural record.

Impact: The result can be unnecessary exposure, diminished autonomy, inappropriate targeting, and a much harder remediation problem because the data may already have propagated into models, logs, partners, or downstream systems.

Practitioner Guidance

What to prioritise: Treat child-related processing as a higher-risk review path and start with necessity, age-appropriate transparency, and data minimisation. If the feature is only viable because it collects more data than is truly needed, that is usually the point where redesign is preferable to mitigation.

What to verify: Check whether the product actually enforces the safeguards the review approved, especially retention limits, profiling boundaries, and any parental or guardian workflow. Where AI or personalisation is involved, verify the model inputs and outputs, not just the privacy notice.

Decision rule: If the same outcome can be achieved with less intrusive processing, choose the less intrusive option unless there is a strong and documented reason not to. For child-related data, “possible” is not a sufficient justification when a lower-impact design exists.

Practitioner takeaway: The main mistake is treating children’s data as a variant of ordinary personal data review, when it should trigger a more cautious, evidence-based justification for collection, use, and retention.

Related resources from NHI Mgmt Group

• How should organisations handle privacy requests across identity and data systems?
• How should organisations handle EU Data Act data access and sharing requests without weakening privacy controls?
• How should organisations handle EU US personal data transfers after Privacy Shield was invalidated?
• How should organisations adapt their privacy programme to the revised FADP when they handle Swiss personal data?