UK AI Age Scans Risk Child Refugees Being Treated as Adults

The British government's plan to implement AI-powered facial age-estimation technology for screening migrants faces strong opposition from human rights groups and children's charities, who warn of significant risks to vulnerable children. The Human Rights Network has specifically cautioned that "racist bias" within the facial-recognition software could lead to solo child refugees being incorrectly assessed as adults and consequently housed with adult populations. This misclassification, they argue, poses a severe danger to the safety and well-being of these children.

Critics contend that the underlying AI models are "flawed and racialised," meaning they do not perform equitably across different demographic groups. This is particularly concerning for Black children arriving from conflict zones, who are at heightened risk of being wrongly categorized as adults. Such a misjudgment could thrust them into the adult asylum system, exposing them to exploitation, abuse, and further trauma in environments not designed for minors. The charities are urging ministers to reconsider and reverse these plans, emphasizing the ethical and humanitarian implications of relying on potentially biased technology for such critical decisions.

The technology aims to assist immigration officials in determining the age of unaccompanied minors who lack official documentation. However, the accuracy and fairness of such systems, especially when applied to individuals from diverse ethnic backgrounds and who may have experienced significant hardship, are under intense scrutiny. Concerns have been raised about the potential for systemic discrimination, where the AI's algorithms, trained on datasets that may not adequately represent the global population, exhibit biases that lead to inaccurate age estimations for non-white individuals. This could result in a disproportionate number of Black children being incorrectly identified as adults.

Human rights advocates are calling for a thorough review of the AI systems' development and validation processes, demanding transparency and accountability from the technology providers and the Home Office. They advocate for alternative, more reliable methods of age assessment that prioritize the protection of children and adhere to international safeguarding standards. The potential for these AI tools to exacerbate existing vulnerabilities and lead to severe safeguarding failures is a central point of their critique, highlighting the urgent need for a more humane and equitable approach to age assessment for child refugees.