An exclusive report by The Independent reveals that an artificial-intelligence system deployed by the Home Office to summarise asylum-seeker interviews is failing basic accuracy checks, raising fresh questions about the department’s rapid digitalisation drive. Internal spot-checks seen by the paper show a “significant error rate” in machine-generated summaries that feed directly into life-and-death refugee status decisions. The tool—rolled out nationwide in April 2026 to tackle the backlog of more than 90,000 cases—was designed to convert lengthy interview transcripts into concise case files for decision-makers. However, campaigners say inaccuracies ranging from mistranslated key phrases to misattributed statements could lead to wrongful refusals or long appeals. MPs on the Home Affairs Select Committee are now calling for an immediate audit and the publication of the algorithm’s validation methodology. For businesses, the stakes go beyond asylum. The same natural-language platform underpins pilot schemes aimed at automating Skilled Worker compliance visits and sponsor-licence monitoring. Any credibility gap could delay those programmes or trigger tighter human-review requirements, increasing HR overheads for sponsor licence holders. Technology adoption in immigration processing remains a strategic objective of the government’s ‘digital border’ vision, but the controversy highlights the importance of governance, bias testing and meaningful human oversight. Employers relying on sponsor licences should monitor developments: if the AI rollout is paused or re-engineered, case turnaround times—already improving in 2026—could lengthen again, affecting onboarding of overseas hires. The Home Office says the system has reduced manual workload and insists that all AI-produced summaries are reviewed by trained case-workers before decisions are issued, but acknowledges ongoing calibration.
Source: The Independent
