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UK Home Office asylum AI fails accuracy audits as backlogs worsen

The Home Office deployed machine learning to accelerate asylum decisions—a canonical efficiency play—but the system fails one-fifth of accuracy checks while processing times have actually deteriorated. The bottleneck was never computational speed but human casework capacity and legal complexity. Automation that displaces cost and liability onto vulnerable populations (asylum seekers awaiting decisions) while missing its core metric leaves policymakers with a malfunctioning system and no political cover to address the underlying resource shortage.