Metropolitan Police AI Pilot Uncovers 598 Potential Misconduct Cases Among Officers

The Metropolitan Police deployed an artificial intelligence program to uncover misconduct and criminality across the force, identifying officers involved in abuse of authority for sexual purposes, fraud and sexual assault. The AI program, supplied by the US technology company Palantir, interrogated internal systems tracking sickness, overtime, expenses, building access and public complaints.

The analysis revealed misuse of internal systems by senior officers, including false overtime claims, manipulation of shift data to secure additional leave and misrepresentation of home working.

The pilot, conducted without the knowledge of officers or staff, lasted one week and uncovered evidence of sexual harassment and exploitation of HR systems for financial gain. The program analyzed years of internal data to identify patterns of misconduct. As a result, 100 officers are under investigation for gross misconduct, and 16 officers have received warning notices.

In total, 598 cases relate to abuse of the IT shift system for personal or financial benefit. About 42 senior officers, from chief inspector to chief superintendent, face losing their jobs after falsely claiming to be in the office while working from home in breach of Metropolitan Police guidelines.

Twelve officers face gross misconduct proceedings for failing to declare membership of the Freemasons.

Three officers have been suspended, and two officers have been arrested. A further 30 cases have been flagged for suspicious behaviour, which the Metropolitan Police states are currently uncorroborated. Sir Mark Rowley set up the initiative after the Charing Cross scandal in which BBC Panorama filmed officers making sexist and racist comments.

Sir Mark Rowley took office in 2022 and has overseen the dismissal of 1,500 officers since taking office. Sir Mark Rowley said: “We’ve made all this effort on integrity … but we’ve still got further to dig down for the people who are not determined to change … Those numbers are extraordinary.