A UK asylum case has raised fresh concerns about how government departments use artificial intelligence. A senior judge suggested that the Home Office may have relied on AI-generated information while rejecting an asylum claim.

The judge questioned a document cited as key evidence because no official record of it could be found. The case has also renewed debate about accuracy, transparency, and accountability in immigration decisions.

The case involves a Moroccan woman and her child. They fled Morocco after she experienced forced child marriage, rape, and severe abuse. She applied for asylum in the United Kingdom because she feared her husband would kill her if she returned. Court records describe her husband as a powerful criminal with previous convictions.

The Home Office rejected her application. Officials said a Country Policy Information Note (CPIN) showed that Morocco was a safe country for her return. The refusal letter treated the document as an independent and reliable source.

The issue arose when no one could find the document. Even so, a judge in the First-tier Tribunal relied on the same reference while dismissing her appeal.

Upper Tribunal Raises Questions

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The woman appealed to the Upper Tribunal. During the hearing, the senior judge examined the missing document. In a ruling issued on July 14, the judge stated, “It appears that no such CPIN has ever existed.”

The judge also said that no copy of the document existed in the public domain. The Home Office’s Country Policy and Information Team could not confirm that it had ever published such a document.

After reviewing the refusal letter, the judge said it “bears hallmarks consistent with the use of artificial intelligence.” He added that the reference to “Country Information Note Morocco July 2021” could be the result of an AI “hallucination.”

The judge warned that if AI created the reference, it would represent “an extremely serious failing on the part of the respondent [the Home Office].”

He also described using a document that did not exist as “analogous to relying on bogus evidence.” The ruling classified the issue as a procedural irregularity.

Internal Guidance Tells a Different Story

When asked about the missing document, the Home Office initially provided a link to an archive where the cited CPIN could not be found. It later produced a different document, an unpublished internal Country Information Note (CIN), instead.

The distinction is significant because no public CPIN on Morocco has been published since 2017. During the legal proceedings, references shifted from the internal CIN to the public-facing CPIN, which courts generally consider more authoritative.

The internal CIN was never presented to the court during the asylum proceedings. It also failed to support the conclusion that Morocco was a safe destination for women facing circumstances similar to the appellant’s.

Instead, the guidance highlighted ongoing concerns. It stated that Morocco approved approximately 40,000 child marriages through legal exemptions in 2018, accounting for around one-fifth of all marriages that year.

The document also noted that Moroccan law does not explicitly criminalize marital rape. Women reporting such abuse may even face prosecution for engaging in sex outside marriage if authorities reject their claims.

Home Office Responds

ChatGPT AI | The ruling challenges government use of AI, demanding stricter evidentiary standards in UK asylum cases.

Home Office sources said officials provided the additional information requested by the judge during the proceedings.

A Home Office spokesperson said:

“The home secretary is restoring order and control to our asylum system by removing incentives drawing illegal migrants to the UK and ramping up removals of those with no right to be on British soil.

We keep our asylum system under constant review. Claims are always considered on their individual merits and based on the latest evidence to ensure only those in genuine need are granted UK protection.”

The woman’s asylum case remains before the courts.

The ruling highlights the need to verify every source used in asylum decisions. It also raises questions about how government departments use artificial intelligence in legal processes. Courts depend on reliable evidence, especially when a decision can affect a person’s safety. As the case continues, it may shape future discussions about AI, public accountability, and evidence standards in the UK’s asylum system.

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