Financial Times UK - 02.08.2019

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Friday2 August 2019 ★ FINANCIAL TIMES 9

FT BIG READ. TECHNOLOGY


London has become the test case for how democracies will use facial recognition software. The police


hope it can be used to solve and prevent violent crime, but can citizens ever give their informed consent?


By Madhumita Murgia


new legislation to cover facial images,
because the technology is developing
apace and the police are already explor-
ing it,” says Paul Wiles, the UK’s inde-
pendently appointed biometrics com-
missioner. “Biometrics is emerging in
both the public and private sector, and
the important question is who will share
what with whom, and who decides.”
Mr Fussey, from the University of
Essex, agrees, saying the current laws
around facial recognition were “com-
pletely inadequate”.
“Parliament is so choked up with
Brexit there is no appetite for law
changes, but there isn’t a legal basis.
You’re asking police to trial it to keep the
public safe, but with no national leader-
ship or guidance. It is unfair on the pub-
lic and on the police.”
MPs on the House of Commons
science and technology committee last
week urged the Home Office to impose a
moratorium on all facial recognition
trials until regulations can be estab-
lished. The call has been backed by
independent experts including AI
researchers at the Ada Lovelace
Institute; the biometrics commissioner;
and the UK’s data protection authority,
which said the use of facial recognition
in public spaces represented “a real step
change in the way law-abiding people
are monitored as they go about their
daily lives”.
However, the police believe the poten-
tial benefits are significant. “Live facial
recognition technology has the poten-
tial to help our officers locate criminals
who are wanted for serious and violent
offences, such as knife and gun crime,
and the sexual exploitation of children,”
said deputy assistant commissioner
Duncan Ball of the Met Police.
“The public would expect the Met
Police to use all available and propor-
tionate means to catch violent offenders
and it is right that we trial emerging
technology that could help us to do so.”
Before the end of the year, the Welsh
courts will deliver a judgment on the
case brought by Ed Bridges against the
South Wales Police for scanning his own
face twice, including during a protest
against the Cardiff Arms Fair.
The judgment will set a historic legal
precedent for the UK’s use of facial rec-
ognition. In his crowdfunding appeal for
the case, Mr Bridges laid out his view of
the high stakes.“The inevitable result is
that people will change their behaviour
and feel scared to protest or express
themselves freely — in short, we’ll be
less free.”

O


n the last day of January,
few of the shoppers and
office workers who hur-
ried through Romford
town centre in east
London, scarves pulled tight against the
chill, realised they were guinea pigs ina
police experiment.
The officers sitting inside a parked
van nearby were watching them on
screens, using a new technology that the
police hope will radically reduce crime
in London — live facial recognition.
Cameras stationed near Romford train
station picked up every face walking
past, and matched it to a police watch-
list of wanted criminals. Successful
matches would result in immediate
arrest.
For all the potential to fight crime,
however, the trial quickly stumbled into
the thorny issues that surround the
technology. A bearded man in a blue
baseball cap approached the surveilled
area, with his grey jumper pulled up to
cover his face. He had just been
informed by a bystander that the police
were testing facial recognition in the
area and did not want to participate.
The police demanded that he comply
and scanned his face with a facial recog-
nition tool on a mobile phone. Although
his face did not match that of any known
criminals, a verbal altercation ensued,
which resulted in the man being fined
£90for telling an officer to “piss off”.
The entire incident was caught on cam-
era by journalists.
“The fact that he’s walked past clearly
masking his face from recognition.It
gives us grounds to stop him,” an officer
says, defending his actions.

Cameras in the capital
The incident — one of fourarrests of
people avoiding the cameras in Rom-
ford that day — is one of the reasons that
live facial recognitionis causing such
acute concern amongobservers and
civil rights activists. Given that the tech-
nology is such an overt form of surveil-
lance, many believe that explicitcon-
sentof citizens is fundamental — some-
thing the Romford man never gave.
“When people get stopped and
searched in the street, or fined for avoid-
ing cameras, when they don’t consent to
being observed by cameras, that is a
problem,” says Peter Fussey, a criminol-
ogist at the University of Essex who was
present in Romford, asan independent
police-appointed monitor.
“The most important thing in
research ethics, above all else is.. .to
be absolutely sure people consent to
being part of that research ... Yet what
happened in these trials is that if people
did not engage with it, police would
intervene, stop them and search them.”
London is now at the forefront of a
battle over the use of facial recognition
by the authorities that is escalating
across many democratic countries. As
the technology has become commer-
cially available in recent years, via com-
panies such asAppleand Facebook, the
biggest uptake has been in countries
with authoritarian political systems —
most notablyin China, which uses facial
recognition as part of its extensive and
highly intrusive surveillanceof Muslim
Uighurs in Xinjiang province.
As police departments in democratic

estimated 420,000 CCTV cameras oper-
ate in and around the city, making it the
second-most monitored city in the
world after Beijing, with its 470,
cameras, according to a report by the
Brookings Institution. (Washington DC,
in third place, has just 30,000).
Many were put in place in the early
1990s in response to IRA bombings in
the city, followed by waves of installa-
tions after the September 11 and Lon-
don Underground terrorist attacks, and
the 2012 Olympics.
For years, the cameras dotted around
the city were “dumb” devices, peep-
holes that did not know what they were
looking at. However, advances in artifi-
cial intelligence, along with the drop-
ping cost of the cameras themselves,
have transformed the business of visual
surveillance. Machine learning algo-
rithms trained to recognise specific peo-
ple, objects or strange behaviours have
supercharged these cameras, allowing
them to effectively “see”.
Over the next five years, the number
of so-called smart cameras in public and
private spaces, from schools to hospi-
tals, is expected to increase exponen-
tially across London, according toa
reportby Tony Porter, the UK’s surveil-
lance camera commissioner. They will
create a smart city that will itself
become the eyes and ears of an overbur-
dened law enforcement system.
“AI... could analyse thousands of
video-feeds to track and alert authori-
ties of anomalies,” writes Esther Colwill,
Accenture’s global lead on media and
technology, along with a team of col-
leagues in a report on AI surveillance.
“If enabled, cities could crowdsource
commercial and residential security
system data... to get a real-time pic-
ture of potential criminal activity.”
Elements of this future are already
being used by public bodies in London.
Transport for London has used AI to
analyse footage from cameras in areas
such as Liverpool Street and Mile End,
to spot unusual behaviours such as lin-
gering pedestrians or suspicious bag-
gage. Local councils, such as Newham,
have trialled smart CCTV that sends
automatic alerts to officials about
events such as crowd build-up or suspi-
cious objects.
In NHS hospitals, millions of patients
are exposed to “ever increasing surveil-
lance technology from drones and body-
worn video to automated facial recogni-
tion”, Mr Porter said in the January
report.
Smart CCTV is also being pioneered
by the private sector. Convenience

stores such as Budgens, and supermar-
kets including Tesco,Sainsbury’sand
Marks and Spencerall have cameras
that are already, or soon to be, capable of
facial recognition, used for applications
ranging from crime prevention to esti-
mating the age of those buying alcohol
or cigarettes.
Yoti, a British technology start-up, is
rolling out its facial analysis software in
over 25,000 convenience stores in the
next four months to estimate the age of
customers; while another London
start-up, Facewatch, says its software,
which can recognise known criminals,
has been trialled by a number of high-
street retailers in the past two years, and
will soon be included in 550 stores
across London.
Facewatchhas been in talks to sign
data-sharing deals with the Metropoli-
tan Police and the City of London Police.
Shaun Moore, chief executive of
US-based facial recognition company
Trueface.aim, which provides its tech-
nology to UK casinos, says London is an
advanced market. “The cameras are
already there and have been there for
decades. They were put in for safety and
security, so there was never a big uproar
about it,” he says.
Like Facewatchand Yoti,Trueface
does not manufacture cameras, but pro-
vides its software to businesses looking
to upgrade existing CCTV. The company
is “putting our solution on existing
infrastructure”, explains Mr Moore.

Public versus private
Increasingly, the lines are blurring
between the use of facial recognition
technology by private firms and the
public sector. Surveillance camera sys-
tems in public places are operated by
the private sector, who give law enforce-
ment free access to their footage.
The police’s own facial recognition
systems are built by commercial organi-
sations, which can raise other issues.
Japanese technology company NECpro-
vides cameras to the Metropolitan and
South Wales Police.
Hannah Couchman at Liberty, a non-
profit organisation that is supporting
the case against the South Wales Police,
says that any examination of the tech-
nology requires access to training data
and algorithms, but the company sees
that information as a trade secret. “That
overlap between government and pri-
vate companies leads to a lack of trans-
parency that is inevitable,” she says.
NEC declined to comment.
Some experts believe the close collab-
oration between public and private sec-
tors is a growing problem because there
is currently no ethical or regulatory
framework for private use of surveil-
lance technologies.
“All these companies have customers
but they can’t share who their clients
are,” said Stephanie Hare, a campaigner
and researcher. “The private sector is
where we have the greatest ignorance.
We have no data about how companies
are using it, nobody has oversight, it’s a
total free for all.”
One reason for the legal vacuum is
that UK laws governing the use of bio-
metrics, including our facial data, have
not been updated since 2012, and focus
primarily on DNA and fingerprints.
“I think it’s quite urgent that we enact

countries begin to investigate the tech-
nology, London has become one of the
main test grounds because of the large
network of CCTV cameras that already
operate in the city. The Romford opera-
tion was one of 10 such events around
London carried out by the Met police
over a period of three years, including
twice at the Notting Hill Carnival.
Over the course of the trials, police
planned to gather evidence about the
accuracy and bias of the system and to
assess whether the use of the dragnet
technology could be justified by its
potential benefits — preventing or solv-
ing major acts of violent crime.
The use of face recognition by two
forces — London’s Metropolitan Police
and the South Wales force — has
sparked a national debate about where
people will draw the line to protect their
right to privacy. The discussion centres
on whether there is any legal basis to use
live facial-recognition on the general
population, and whether blanket use of
the technology fundamentally under-
mines the rights of citizens. It comes on
the heels of US cities, such as San Fran-
cisco and Oakland, choosing to tempo-
rarily ban facial recognition use by pub-
lic bodies until regulations are in place.
Many of these issues could come to a
head in a legal case in the UK. In May, Ed
Bridges,who lives in Cardiff, the Welsh
capital, brought one of the first legal
challenges to police use of facial recogni-
tion on the grounds that it is a breach of
the Human Rights Act 1998. The out-
come of the case could set a precedent
around the world, from the US to India
and Australia, where facial recognition
is being quietly tested.
“We are not aware of anywhere live
facial recognition is being used for gen-
eral public surveillance, except in
China,” says Silkie Carlo, executive
director of Big Brother Watch, a civil
rights campaign organisation that has
brought a separate legal challenge
against the Met Police’s use of the tech-
nology in London.
“It’s really alarming for Britain to go
down this path and set this precedent
not only for other democracies, but cer-
tainly for less liberal states. It’s being
used to track ethnic minorities in China;
the possibilities are chilling.”
London is an obvious test bed for
visual surveillance technologies. An

Public spacesLondon has 420,
CCTV cameras, some of which the
police want to use for facial recognition

Legal vacuumExperiments with the
technology are taking place despite
the absence of clear regulations

Global exampleThe decisions London
takes about facial recognition will set
an example for other democracies

Dragnet surveillance


Ed Bridges,
below, has
brought a
lawsuit over the
use of facial
recognition by
police. London’s
extensive
network of
security
cameras was
partly a
response to the
IRA, which
bombed
Manchester in
1996, right— PA

‘Parliament is
so choked up
with Brexit
there is no
appetite for
law changes.
You are
asking the
police to trial
it with no
leadership or
guidance’

‘AI could
analyse
thousands of
video-feeds
to track and
alert
authorities of
anomalies...
to get a real-
time picture
of potential
criminal
activity’

London is a test bed for visual
surveillance technologies

Source: Brookings

CCTV cameras per 1,000 residents

0 10 20 30 40 50

London
Washington DC
Beijing
Houston
Chicago

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