British Police Forces Lobbied to Employ Discriminatory Facial Recognition Technology
Law enforcement agencies across the UK effectively campaigned to deploy a face scanning system known to be discriminatory against females, young people, and members of ethnic minority groups, following complaints that a less biased version generated a reduced number of investigative leads.
The Technology in Practice
British police utilize the national police database to carry out searches using historical face recognition. This procedure entails matching a reference photograph of a suspect against a repository of more than 19 million mugshots to find potential matches.
Admitted Bias
The UK interior ministry conceded last week that the technology was biased. This admission followed a review by the National Physical Laboratory (NPL) found it incorrectly matched people of Black and Asian heritage and women at much greater frequency than Caucasian males. The ministry stated it “had acted on the findings”.
“It prompts the question of whether facial recognition only becomes useful if users accept discrimination in ethnicity and gender. Operational ease is a poor argument for overriding basic freedoms.”
Long-Standing Problem
Official papers show that this bias has been known about for over twelve months. Furthermore, police forces lobbied to reverse an earlier ruling that was intended to address the problem.
Police bosses were notified of the algorithmic discrimination in late 2024. The government-ordered NPL review found the system was more likely to suggest incorrect matches for photos of females, Black people, and those aged 40 and under.
A Reversed Decision
In response, the national police leadership body mandated that the confidence threshold required for potential matches be raised to a level where the disparity was significantly reduced.
However, this directive was reversed the following month following complaints from police that the modified technology was producing a lower number of “useful lines of inquiry”. NPCC documents indicate the stricter setting cut the number of searches resulting in possible identifications from over half to a just 14%.
Profound Inequalities
Although the Home Office and NPCC declined to specify what threshold is now in operation, the latest NPL study found the system could produce false positives for women of Black heritage almost 100 times more frequently than for white women at specific configurations.
The Home Office commented on these results: “The testing found that in a limited set of circumstances the software is more likely to wrongly flag some demographic groups in its match reports.”
Balancing Utility and Fairness
Describing the effect of the temporary raise to the system's accuracy setting, the police records state: “This adjustment greatly lessens the effect of bias across legally safeguarded attributes of ethnicity, generation and gender but had a substantially detrimental effect on operational effectiveness”. The papers further note that forces complained that “a previously useful tool returned outcomes of limited benefit”.
Wider Implementation Proposals
Meanwhile, the government has opened a two-and-a-half-month public review on its plans to widen the use of facial recognition technology. Policing minister the relevant minister has labeled the technology as the “most significant advance since DNA matching”.
Criticism from Advisors and Monitors
The chair of a police oversight board, chair of the independent scrutiny and oversight board for the national policing equality strategy, commented: “There was scant consideration through race action plan meetings of the technology deployment even with obvious cross-over with the strategy's goals.
“These revelations demonstrate once again that the anti-racism commitments policing has undertaken via the race action plan are failing to be integrated into broader operations. Our reports have warned that new technologies are being implemented in a landscape where racial disparities, weak scrutiny and poor data collection already persist.
“Any use of facial recognition must adhere to rigorous official guidelines, be independently scrutinised, and demonstrate it reduces rather than exacerbates racial disparity.”
Home Office Response
A government representative stated: “The Home Office treat the findings of the study seriously and we have already taken action. A new algorithm has been independently tested and procured, which has no statistically significant bias. It will be tested early next year and will be subject to evaluation.
“The foremost aim is ensuring public safety. This revolutionary tool will support police to put criminals and rapists behind bars. There is human involvement in each stage of the process and no further action would be taken without specialist personnel carefully reviewing the results.”