In June, it was reported that police forces in England and Wales were told to pause the use of generative artificial intelligence (“AI”) in criminal justice work, including preparing court statements.
The concern is not simply that AI can make mistakes. Generative AI produces statements that can sound plausible but are false.
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The following is a summary of the article ‘Why police have been told to pause their use of AI in court cases’ as published by The Conversation.
Police forces across England and Wales have been instructed to pause the use of generative artificial intelligence (“AI”) for criminal justice work, including the preparation of court statements.
[Read more: Police in England and Wales told to halt AI use in court statements, Financial Times, 6 June 2026]
Alex Murray, head of the Police.AI centre, stated that forces must slow down to ensure AI systems undergo proper assessment before being integrated into criminal justice workflows.
The primary concern is that generative AI can produce false information that sounds plausible, which poses significant risks when such material influences investigations or is presented as evidence in court.
For example, the West Midlands Police used Microsoft Copilot to prepare material for a proposed ban on Maccabi Tel Aviv supporters attending a match against Aston Villa in November 2025. The AI cited disorder from a previous match between the two clubs, except the match had never actually taken place.
Other examples include: “A Derbyshire police detective [who] has been suspended and is under criminal investigation following allegations that AI was used to create evidential material,” The Conversation said.
And, “Several rape convictions are being reviewed after allegations that the detective instructed an AI chatbot to produce case paperwork in ways intended to influence charging decisions.
Generative AI complicates the requirement for evidence provenance, as large language models generate responses based on patterns rather than verifying the truth of the information. And AI systems often fail to provide a reliable audit trail; even when an AI is asked to explain its reasoning, the explanation itself may be generated rather than serving as an accurate record of the process.
The obvious safeguard is human verification. But this creates an awkward trade-off by reducing the time-saving benefits of using AI technology. However, in the criminal justice system, which affects someone’s guilt or innocence, and liberty, the cost of human verification is essential not only for accuracy but to ensure that a human remains accountable for the origin and reliability of evidence. Simply reading AI output is insufficient; it must be checked against independently verifiable facts and original evidence.
You can read the full article on The Conversation HERE.
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