Attempted 'Minority Report': AI Crime Predictor in Britain Failed

British police and local authorities built a large-scale neural network to predict crimes, but quietly abandoned the project after the algorithms proved completely inadequate. The system was supposed to identify potential criminals and vulnerable citizens, but instead it only sowed chaos and mistrust.

“Regional police and local authorities in the UK built a huge machine-learning apparatus for predicting crimes and identifying vulnerable citizens, but quietly abandoned key models after the data turned out to be deeply unreliable,” WIRED reports.

One of the algorithms, designed to predict robberies, operated with an accuracy of less than 10% for more than three years. This meant that less than one in ten of those flagged as high risk actually committed a crime.

At the same time, victims of violent crimes often received lower risk scores than those who committed thefts. Social workers refused to rely on the algorithms due to the system's lack of transparency.

“Social workers subsequently refused to intervene based on the algorithms. Council staff expressed discomfort with using the technology due to the apparent lack of transparency in how the figures are generated,” the publication notes.

By June 2023, the authorities quietly stopped using models aimed at combating sexual and criminal exploitation of children. Neither the police nor the council kept records of the exact reasons for the abandonment.

Interestingly, in parallel, the government is launching PoliceAI - a national initiative worth 75 million pounds to implement AI in all 43 police forces of England and Wales. The project is led by former chief of police of Avon and Somerset, Andy Marsh, who promoted the failed regional project.

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