British Police Forces Campaign to Employ Discriminatory Facial Recognition Technology
Police forces across the United Kingdom successfully lobbied to deploy a face scanning system acknowledged as biased against females, youths, and individuals from minority ethnic backgrounds, following complaints that a less biased version produced fewer investigative leads.
The Technology in Practice
British police use the police national database (PND) to carry out searches using historical face recognition. This process entails comparing a reference photograph of a person of interest against a repository of more than 19 million mugshots to identify possible hits.
Admitted Bias
The Home Office admitted last week that the system was flawed. This admission followed a review by the National Physical Laboratory (NPL) determined it misidentified people of Black and Asian heritage and women at much greater frequency than Caucasian males. The ministry said it “had acted on the findings”.
“This raises the issue of whether this technology only becomes useful if users tolerate biases in race and gender. Operational ease is a poor argument for disregarding basic freedoms.”
Long-Standing Problem
Official papers reveal that this discriminatory flaw has been known about for more than a year. Furthermore, police forces argued to overturn an earlier ruling that was designed to mitigate the problem.
Police bosses were informed of the algorithmic discrimination in late 2024. The Home Office-commissioned laboratory study concluded the system was had a higher probability to produce incorrect matches for images depicting females, individuals of Black ethnicity, and those aged 40 and under.
A Reversed Decision
In response, the national police leadership body ordered that the confidence threshold required for potential matches be increased to a level where the disparity was greatly diminished.
However, this decision was reversed the following month after forces complained that the adjusted system was producing a lower number of “investigative leads”. NPCC documents indicate the higher threshold reduced the proportion 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 setting is currently used, the latest independent review discovered the system could generate false positives for Black women almost 100 times more frequently than for Caucasian women at certain settings.
The Home Office stated on these findings: “Our evaluation found that in a specific scenarios the software is has a greater tendency to incorrectly include some population segments in its search results.”
Balancing Utility and Fairness
Outlining the effect of the temporary raise to the system's accuracy setting, the police records state: “This adjustment significantly reduces the effect of bias across protected characteristics of ethnicity, age and sex but had a substantially detrimental effect on operational effectiveness”. The papers add that police units complained that “a once effective tactic returned results of questionable value”.
Broader Rollout Plans
Meanwhile, the government has opened a two-and-a-half-month consultation on its plans to widen the use of facial recognition technology. The minister for police the relevant minister has labeled the technology as the “biggest breakthrough since genetic fingerprinting”.
Expert and Oversight Concerns
The chair of a police oversight board, chair of the independent scrutiny and oversight board for the police race action plan, commented: “We observed scant consideration through equality strategy sessions of the facial recognition rollout even with clear relevance with the strategy's goals.
“This disclosure show yet again that the pledges to combat discrimination policing has made through the equality initiative are not being translated into broader operations. Independent assessments have warned that innovative tools are being implemented in a context where racial disparities, inadequate oversight and faulty information gathering already persist.
“All deployment of facial recognition must adhere to strict national standards, be subject to external review, and prove it reduces rather than exacerbates racial disparity.”
Home Office Response
A government representative stated: “We treat the conclusions of the study seriously and we have implemented changes. A updated software has been externally evaluated and procured, which has no statistically significant bias. It will be tested early next year and will be subject to evaluation.
“Our priority is protecting the public. This gamechanging technology will support police to apprehend and prosecute offenders. There is human involvement in each stage of the procedure and no arrest or charge would be pursued without trained officers meticulously examining the results.”