🔗 Share this article British Law Enforcement Agencies Lobbied to Employ Discriminatory Facial Recognition Systems Law enforcement agencies across the United Kingdom effectively campaigned to deploy a facial recognition system known to be discriminatory against females, youths, and members of minority ethnic backgrounds, after complaining that a less biased version generated a reduced number of potential suspects. How the System Works British police use the national police database to carry out retrospective facial recognition searches. This procedure involves matching a “probe image” of a person of interest against a database of over 19 million mugshots to identify potential matches. Acknowledged Discrimination The UK interior ministry conceded last week that the technology was flawed. This admission came after a review by the National Physical Laboratory (NPL) determined it incorrectly matched people of Black and Asian heritage and females at much greater frequency than white men. The Home Office stated it “took steps on the findings”. “This raises the question of whether facial recognition only becomes useful if users tolerate discrimination in race and gender. Convenience 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 initial decision that was designed to address the problem. Senior officers were notified of the algorithmic discrimination in September 2024. The government-ordered NPL review found the system was more likely to produce false positives for photos of women, Black people, and those aged 40 and under. A Reversed Decision In response, the National Police Chiefs’ Council (NPCC) ordered that the accuracy setting required for potential matches be raised to a level where the bias was greatly diminished. However, this decision was reversed the following month following complaints from police that the adjusted system was generating fewer “useful lines of inquiry”. NPCC documents show the higher threshold cut the number of searches that yielded potential matches from 56% to a mere 14%. Severe Disparities Although the authorities declined to specify what setting is currently used, the latest NPL study discovered the system could produce false positives for women of Black heritage nearly a hundred times more often than for white women at certain settings. The ministry commented on these results: “The testing found that in a limited set of circumstances the software is more likely to incorrectly include some population segments in its search results.” Operational Effectiveness vs. Bias Describing the effect of the temporary raise to the system's confidence threshold, the police records state: “This adjustment greatly lessens the effect of bias across protected characteristics of race, generation and sex but had a substantially detrimental effect on police efficiency”. The papers add that police units complained that “a once effective tactic returned results of limited benefit”. Wider Implementation Proposals Meanwhile, the UK administration has launched a ten-week public review on its proposals to widen the use of facial recognition technology. Policing minister the relevant minister has described the tool as the “biggest breakthrough since genetic fingerprinting”. Criticism from Advisors and Monitors Abimbola Johnson, chair of the advisory panel for the national policing equality strategy, commented: “There was very little discussion in equality strategy sessions of the facial recognition rollout despite clear relevance with the plan’s concerns. “This disclosure demonstrate once again that the pledges to combat discrimination policing has undertaken through the race action plan are not being translated into wider practice. Independent assessments have cautioned that innovative tools are being implemented in a landscape where ethnic inequalities, weak scrutiny and poor data collection already persist. “All deployment of facial recognition must adhere to rigorous official guidelines, be subject to external review, and prove it diminishes rather than compounds ethnic bias.” Official Statement A government representative stated: “The Home Office treat the findings of the report with utmost gravity and we have already taken action. A updated software has been externally evaluated and acquired, which has no statistically significant bias. It will be tested in the coming months and will be subject to further assessment. “The foremost aim is ensuring public safety. This gamechanging technology will support police to apprehend and prosecute offenders. There is human involvement in every step of the procedure and no arrest or charge would be pursued without specialist personnel carefully reviewing the results.”