
Trial of live facial recognition in London stations ends with a false positive and no arrests
Freedom of information request finds six-month trial cost ã320,000, used almost 100 police hours and led to just one â incorrect â alert
A six-month trial of live facial recognition (LFR) technology in LondonâÂÂs railway stations that cost more than ã320,000 and almost 100 hours of police officersâ time ended in one false match against a watchlist of suspects and no arrests.
More than half a million faces were scanned between February and July this year in some of the capitalâÂÂs busiest transport hubs during the British Transport Police (BTP) trial of the surveillance technology, which aimed to help catch offenders and people breaching court orders.
A freedom of information document obtained by Liberty Investigates and shared with the Guardian shows that equipment hire and police staffing for the 18 deployments across the trial cost the taxpayer ã320,786 and led to only one alert on a watchlist, which turned out to be an incorrect identification, also known as a false positive.
Last month BTP announced it was extending the trial for a further four months and expanding the deployments to include London Underground stations.
When Transport for London announced its support for the extension of the trial, it said LFR technology âÂÂwill target and identify people on police watchlists at key stations chosen for maximum impactâ and would âÂÂspecifically tackle violence against women and girls, whose travel behaviours are shaped by experiences of sexual harassment and sexual offencesâÂÂ.
Fraser Sampson, a former biometrics and surveillance camera commissioner for the UK, said the police needed to show that the use of the technology was proportionate. âÂÂThere many variables and all need to align: the choice of location, times of day, make up of the watchlist and likelihood of people being present and many more.âÂÂ
Sampson, who is now a non-executive director of Facewatch, a company that operates facial recognition systems in shops, added: âÂÂWe know the technology works, but using it in supermarkets to deter shoplifters and prevent attacks on staff is very different from deploying it to catch people on a public transport network.
âÂÂSuccess in a shop means no such people coming in. Success for the police trying to catch people means people being caught. In that respect the trial doesnâÂÂt appear to have been very fruitful.
âÂÂEverything depends on the police watchlists; if youâÂÂre not on a watchlist, the live FRT cameras do not âÂÂseeâ you and they donâÂÂt retain your image in the same way as CCTV cameras.
âÂÂHowever, they are processing special category personal data and the technology must be used in a way that is appropriate, proportionate and necessary. ItâÂÂs for the police to show how any deployment meets those criteria and â as the ICO [information commissionerâÂÂs office] has recently reported â for their oversight boards to hold them firmly to account in doing so.âÂÂ
More than half of police forces in England and Wales have now deployed LFR on British streets, according to an analysis by Liberty Investigates.
The Metropolitan police and London mayorâÂÂs office announced this summer that fixed LFR cameras would be installed in the capitalâÂÂs West End. Sadiq Khan, the mayor of London, has since confirmed the technology will be used on the newly pedestrianised Oxford Street.
A recent report from parliamentâÂÂs joint committee on human rights, which called on the government to introduce a law to address the threat of artificial intelligence to human rights, identified the rollout of live facial recognition technology as a âÂÂparticularly clear example of riskâÂÂ.
Bell Ribeiro-Addy, the Labour MP for Clapham and Brixton Hill, said: âÂÂLive facial recognition technologies are a serious invasion of our privacy. The government should be suspending their rollout until there are stronger safeguards in place, including a proper legal framework.âÂÂ
A BTP spokesperson said it had launched the LFR pilot to âÂÂto understand how the technology could most effectively support the identification of wanted offenders and individuals who may pose a risk to passengers and staffâÂÂ.
They added: âÂÂDuring these deployments, officers have made a number of associated arrests, including for assault, theft, possession of an offensive weapon, breach of a criminal behaviour order and public order offences, as well as locating individuals wanted by the courts and other police forces. As these arrests did not result directly from an LFR alert, they are not included within LFR performance data.
âÂÂThroughout the pilot, we have continued to refine how the capability is deployed within the railway environment. This has included developments to deployment locations, operating procedures, equipment and watchlist construction.
âÂÂA particularly important point is that watchlist growth has been deliberate, controlled and aligned to BTP policy. We began with a more limited watchlist whilst ensuring data quality, governance and safeguarding arrangements were robust.âÂÂ
