UK Immigration Goes AI: Could Children Be Wrongly Classified as Adults?

Explore the controversy as the UK deploys AI facial age estimation at borders, raising serious child-safeguarding risks.

Synopsis: Discover how the UK and Germany are integrating artificial intelligence into immigration processing. While Germany focuses on standardisation, the UK’s rollout of Facial Age Estimation (FAE) has sparked fierce controversy over child protection, high error rates, and the critical trade-off between administrative speed and human safeguards.

From the back office to front-line decisions, immigration systems are increasingly using artificial intelligence, and critics warn that the stakes are higher than ever. 

The UK and Germany are introducing systems that leverage artificial intelligence to accelerate the processing of asylum, visa and residence applications. The rollout is designed in Germany to simplify the decision-making process and shorten waiting periods. But in the UK, the discussion has spiralled into a much more controversial debate, which focuses on children.

The Core Controversy: Facial Age Estimation

The UK Home Office will use Facial Age Estimation (FAE) technology next year at the UK border. The system is used to examine the individual’s facial features and determine if an adult may be posing as a child. 

In theory, it is an efficient tool that is useful. In reality, 62 civil-society organisations have come together to ask the Home Office to stop the rollout altogether.

UK Home Office AI Age Assessment

A two-and-a-half-year margin of error is not a ‘rounding error’ when it comes to a system designed to protect vulnerable minors. It is the gap between a child who is being safeguarded and a child who is being detained with adults. 

What the Home Office Says

The Home Office states that AI will not replace human judgement, but it will be a complement. Immigration officers will continue to examine documents, interview individuals, and make other checks before making a determination.

But there is an existing problem that is already observed in current age dispute processes. The rate of errors. Of the cases in which there was a resolution to an asylum age dispute in the UK, 57% were successful in determining that the person involved was a child during the 12 months to March 2026. Some critics have pointed out that this is an inherent error rate in a process that is already prone to errors and that integrating an AI layer could make things worse.

UK Home Office AI Age Assessment

The Bigger Question

This isn’t just a UK story. With governments increasingly exploring AI to manage strained immigration systems, the debate centres on a familiar trade-off between efficiency and safeguards. Will AI truly enable faster and fairer decisions on immigration, or will it just create new and more challenging errors at scale? 

FAQs

What is Facial Age Estimation (FAE)? 

It’s an artificial intelligence technology designed to analyse facial features to work out someone’s age, which is aimed at assisting UK border officials in determining inauthentic age claims. 

What is the reason that civil-society groups are against it? 

They point to the risk of bias associated with ethnicity and sex, not to mention a margin of error of roughly 2.5 years, and the possibility of misclassifying traumatised or malnourished children as adults. 

Will AI decide the final immigration decision? 

No, according to the Home Office, AI will provide supporting information only. Human officers will be given documents, interviews and other evidence to consider. 

How many people are misassigned to their current ages? 

Current systems are already prone to high error rates, with 57% of cases of settled asylum age disagreements resulting in the individual being found to be a child in the year ended March 2026. 

When will FAE be started? 

It will be implemented at the border from next year, according to plans by the UK government. 

So, what do you think? Is immigration processing safer with AI, or is it going to cause harm to vulnerable children? Feel free to write what you think in the comments.