Does Coronavirus Herald the Age of Totalitarian Surveillance in Russia and Eurasia?
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When the shock from the pandemic wears off, post-COVID societies will have to search for new mechanisms to curb the desire of the authorities for total digital control.
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The new coronavirus pandemic and related lockdown measures triggered a significant increase in digital control over people in many countries. Government agencies monitor data from mobile operators on the movements and contacts of their clients, collect personal data, and make use of cameras connected to facial recognition systems and many other technologies. Members of the public are rightfully concerned about their governments’ active encroachment into what was recently their personal space.
The fight against the pandemic has merely legitimized and brought into the spotlight technologies that had already been in use around the world for years. And we can expect increased digital control to remain in effect in Russia—and many other countries—even after the pandemic is over.
AI Experiments in Moscow
In Russia, Moscow has been a testing ground for digital city management. The Electronic Moscow targeted city program was implemented in 2003–2017 to upgrade the digital equipment of state officials and modernize communication infrastructure, while the Information City state program was carried out in 2011–2017 to automate urban processes and digitize services, including those in healthcare and education.
These initiatives allowed the Moscow government to create a system to collect and analyze data on its residents’ movements, health, education, and use of various state services. The Moscow mayor’s office currently has 170 information systems at its disposal. Notably, prior to becoming mayor of Moscow in 2010, Sergei Sobyanin oversaw the Information Society program as the head of the presidential administration.
In 2018, following discussions with the public and the business community, the Moscow Department of Information Technologies (DIT) presented a digital strategy for the Russian capital: Smart City–2030. A central element of the strategy is the use of artificial intelligence (AI) to analyze data from various sources and provide solutions to the government and businesses. Mobile operators are a key source of data on the movements of Muscovites. DIT has been buying
data from mobile operators since 2015, including SIM-card tracking data. The mayor’s office also uses travel data from the Moscow Metro’s Troika travel cards, taxi trip logs, images from photo and video cameras, and data from public Wi-Fi networks.
to Deputy Moscow Mayor Maxim Liksutov, the city collects this information to track passenger flows and optimize the operations of public transportation. Liksutov has asserted that the data the city receives is anonymized. “We have no personal data whatsoever. This data looks like a series of dots that travel around, and we don’t even have approximate information about who they might be,” Liksutov assured
However, research by U.S. and Belgian scientists shows
that “four spatio-temporal points are enough to uniquely identify 95 percent of the individuals.” Thus, such data are not fully depersonalized and could potentially be used to collect information on the movements of specific individuals. Until the spring of 2020, the mayor’s office had not even requested permission from Muscovites to use their mobility data, which made its operations legally dubious.
The application of surveillance technologies, including those that rely on AI, accelerated significantly as a result of the coronavirus pandemic. In late April 2020, at the height of the first wave of the infection, a Russian federal law
creating conditions for the development and implementation of AI technologies in Moscow was rushed through the State Duma along with amendments relating to the use of depersonalized data to the federal law on personal data. Under the new law, special regulations were introduced for a term of five years effective July 1, 2020.
The new experimental legal regime envisaged the creation of “digital sandboxes” for practicing technologies that aren’t yet regulated by existing legislation. The stated objectives of this experiment include improving residents’ quality of life, increasing the efficiency of government and business operations, and forming a complex system of regulating public relations in connection with the development and use of AI technologies.
The law professes to protect the public’s rights and freedoms, and ensure the safety of the individual, society, and the state. However, the vagueness of its language elicits some doubts about how the mayor’s office will use the personal data of Muscovites.
Security and Surveillance
In addition to buying mobility data in the 2010s, the Moscow mayor’s office also installed a large-scale video surveillance system (notably, this system was not mentioned in the publicly discussed Smart City–2030 strategy). By 2012, the core of a centralized video surveillance system was in place, and the Moscow government started increasing the number of city cameras. By the beginning of 2020 there were 178,000 cameras, and their total number was expected to exceed 200,000. Cameras were also installed on public transportation vehicles. Both the total number and the density of cameras in Moscow is modest by world standards, however, putting the Russian capital in 23 and 30 place worldwide, respectively, based on findings
from Surfshark, an online privacy and security solutions toolkit.
The Moscow mayor’s office attributes the need for a video surveillance system primarily to safety concerns. In January 2019, Sobyanin posted
on social media that CCTV camera recordings are used in the investigation of 70 percent of offenses. The Moscow government has also announced that it will install one of the largest facial recognition systems in the world as an additional public safety measure.
About 1,000 CCTV cameras in Moscow were first connected to a facial recognition system back in 2017, but the true test for the system was the 2018 FIFA World Cup. According to Rostec state technology corporation, 180 offenders listed in federal databases were detained during the World Cup. The experiment was pronounced a success, paving the way for the expansion of the system.
By January 2020, the facial recognition system was in full force and included 105,000 “smart” cameras. The FindFace software can identify individuals even if their faces are partially obscured (for example, by face masks), as well as determine certain biological parameters such as age. Thus, when the pandemic started, the Moscow government was armed with a number of proven tools for monitoring the movements and other actions of city residents.
The system has been continually developed and improved. In January 2021, the DIT announced
plans to introduce an option to pay the metro fare using facial recognition. City management systems are most effective when they combine facial recognition technologies and geolocation data from mobile operators. This model makes it easier to locate people in public places, and simplifies the work of law enforcement agencies.
In February 2021, the Ministry of Digital Development, Communications, and Mass Media proposed
introducing amendments to the federal law on communication that would remove mobile geolocation data from under the protection of “secrecy of communication” laws. This initiative will purportedly make it easier to find missing people. Nevertheless, if the law is passed, the police will effectively gain unlimited access to geolocation data on individuals throughout Russia.
The coronavirus pandemic gave the Russian government unprecedented capacity for monitoring the lives of its people. It also served as a stress test for the surveillance system in Moscow.
Individuals returning to Russia from abroad were the first required to self-isolate. Under an agreement with mobile providers, in mid-March 2020 the Moscow authorities began to monitor returnees’ SIM cards and send direct text messages and emails asking them to stay home. On March 26, a mandatory self-isolation regime was introduced for those over the age of 65 and individuals with chronic health conditions. On March 29, that regime was extended to all residents of the capital: they were only allowed to leave their homes to get emergency medical assistance, travel to work, visit a pharmacy or food store, walk a dog, or take out the trash. Fines for violating the lockdown were introduced on April 2. A system of digital passes required for travel using both personal and public transportation was implemented on April 15. The DIT’s “Social Monitoring” application was launched on April 23 to monitor infected individuals who were recuperating at home (the application had been used in a limited capacity since the beginning of April). The self-isolation regime in Moscow was lifted on June 9.
Despite some hiccups, such as extra fines or lines in the metro on the day the electronic passes were introduced, the Moscow authorities had successfully implemented the lockdown overall. The digital control system was tested and improved “in combat mode,” and by the end of the lockdown it was operating without significant problems.
The federal government appreciated the efforts of the Moscow authorities—and those in other regions—to fight the pandemic. The digital monitoring methods were apparently also deemed to be effective. Even after most lockdown restrictions were lifted, the government retained key elements of digital monitoring, such as the facial recognition system, the use of geolocation data for tracking people’s movements, and restrictions on freedom of speech. (Article 207.1 of the Criminal Code on “Public Dissemination of Knowingly False Information About Circumstances Posing a Threat to the Life and Safety of Citizens” went into effect on April 1, 2020.)
Of course, even the best surveillance systems cannot stop truly large-scale unrest. Even if the authorities tracked all individuals who posted messages on social media or headed for a particular gathering point, there would not be sufficient police resources to detain thousands of people. At the same time, the authorities could track the activity of protest leaders, identify their locations, and detain them prior to street demonstrations.
This is the tactic law enforcement agencies have used in recent years, arresting both public figures and less prominent activists prior to planned protests. Surveillance and facial recognition systems are also effective for identifying—and subsequently fining and arresting—protest participants. Furthermore, the police create databases and monitor the individuals who come across their radar. According to a number of activists, the Moscow authorities installed
CCTV cameras connected to facial recognition systems on metal detectors that participants of an authorized rally held on September 29, 2019, had to pass through. A similar system was also used to track individuals attending protests in January-February 2021.
Today, major tech companies gather all kinds of data on their users. Governments in developed countries use AI to process these data for various purposes, including transportation and social policy planning. The data are supposedly depersonalized, but it would be easy enough to identify individuals. There has been ongoing discussion for many years about how to protect privacy while promoting public safety and efficient governance.
That issue was thrust into the spotlight in 2013 by Edward Snowden’s revelations
about the U.S. Prism program, which included the mass online surveillance of both U.S. and foreign nationals. Among other things, Prism allowed the U.S. National Security Agency to read emails, listen to voice messages, view videos and photos, monitor files being sent, and collect information from social media.
Since then, many countries have passed additional legislation to protect personal data; however, research
by Cisco, Pew Research Center, Salesforce, and other organizations shows that, on average, people have only a vague understanding of what personal information is gathered about them and how that information is used.
In the absence of global rules of the game, each country must find its own balance between privacy and security. Countries that opt for greater control inevitably run the risk of abuse of power by the security services—for example, in political surveillance.
The undisputed global leader in digital monitoring is China. In 2014, it launched the Social Credit System, which rates companies and individuals based on their conduct—from obeying laws and traffic rules to paying bills on time and picking up after their dogs. Those with high ratings receive various social and economic benefits, while those with low ratings are subject to administrative sanctions and restrictions affecting their ability to, for example, get jobs, send their children to private schools, buy airplane tickets, and use certain government services.
The Chinese authorities monitor their citizens using the most advanced facial recognition systems in the world. A new technology presented
in February 2020 can even identify people who are wearing medical masks; if connected to a temperature sensor, the cameras can also identify individuals who might be sick, which is particularly useful during a pandemic. Furthermore, since December 2019, Chinese smartphone users have been required to scan their faces when signing up for new mobile services or buying SIM cards.
The Chinese government has deployed a draconian public control system in the Xinjiang Uyghur Autonomous Region. Citing the fight against terrorism and separatism, the authorities introduced harsh restrictions on the Uyghur people, including digital control: CCTV cameras with facial recognition systems, license plate scanners, geolocation trackers on vehicles, and the collection of biometric data and data from mobile phones. According to the media, hundreds of thousands of residents are also under constant supervision, with the surveillance system alerting
the authorities whenever these individuals stray more than 300 meters away from “safe areas” such as their homes and workplaces. The list of “suspect” individuals is at least partially compiled by an AI-enabled data system, and some individuals flagged by that system are detained and sent to “reeducation camps.”
It should be noted that most of the information about the system in Xinjiang comes from journalists and Western human rights organizations. The Chinese authorities deny the total surveillance of local residents and the existence of the camps.
During the pandemic, surveillance technologies helped China suppress the spread of the coronavirus. In addition to CCTV cameras and mobile tracking data, the authorities used
drones, data from online stores, temperature sensors, and a wide range of AI-based technologies to analyze the movements and contacts of sick and potentially infected individuals.
Other countries that have successfully used their advanced facial recognition and mobility tracking systems to control the coronavirus outbreak include South Korea, Taiwan, and Singapore. South Korea, which has a history of public criticism of the abuse of surveillance technologies by the government, followed a policy of maximal openness and civic responsibility: information on where infected individuals have been was promptly published through the media, text messages, and special apps, but the authorities did not restrict people’s freedom of movement.
Singapore has used geoanalytical data and facial recognition cameras to maintain public order for many years. With the onset of the pandemic, the authorities launched a special contact-tracing application, TraceTogether. But in early 2021 it was reported
that the police were using data collected by the app for criminal investigations. In Taiwan, there have also been public concerns that data collected within the framework of the country’s digital quarantine system will be misused, even though the government has promised to destroy all collected data.
India has actively used surveillance technologies to fight the pandemic, but it has not had as much success due to a range of factors, including its incomparably larger population and economic challenges. In addition, while India’s cities are high up in the ranks based on the number of cameras
, the country does not have a centralized database of images, and not all cameras are connected to the facial recognition system. This is expected to change soon, with plans to create a nationwide facial recognition system. Also, in some regions, the police have already used CCTV cameras to identify
the participants of political protests.
The first country in Central Asia to implement a facial recognition system was Kyrgyzstan, which signed
an agreement on the installation of technologies to improve public and road safety with the China National Electronic Import and Export Corporation (CEIEC) in March 2019. Notably, CEIEC provided the facial recognition system to Kyrgyzstan at no cost. Within 2019, a digital command center was set up in Bishkek and 60 cameras were installed. In late 2020, the Kyrgyz government announced plans to add 70 more cameras. Human rights organizations expressed concern
about the use of surveillance technologies in Bishkek, but the cameras did not prevent the opposition from deposing former president Sooronbay Jeenbekov in October 2020.
In June 2019, the Uzbek Ministry for Development of Information Technologies signed
an agreement with two Chinese companies, CITIC Group and COSTAR Group, on the establishment of an Uzbek-Chinese joint venture within the framework of the Safe City project. The Chinese companies plan to invest $300 million in the project, and potentially increase funding to $1 billion going forward. A facial recognition system (Huawei) will be set up first in Tashkent and later across Uzbekistan. As part of a pilot project, 898 “smart” cameras have been set up in the Shaykhontohur district of Tashkent.
Plans to install a Huawei facial recognition system in Tajikistan were also announced
in 2019, but no further information is available on the project.
Likewise, the status of a facial recognition system reported
by opposition media to be in use in Turkmenistan is unclear. The level of technological development and mobile communications in Turkmenistan is low compared even to its neighbors, so it would be more difficult to implement an effective digital control system in that country.
In January 2020, the media reported
on plans to set up a facial recognition system in Almaty, Kazakhstan. The local police later denied
the reports, but in September 2019 Kazakh President Kassym-Jomart Tokayev had visited the office of the Chinese company Hikvision, which is involved in facial recognition and data processing technologies. After the visit, he publicly called upon
the Kazakh government to follow China’s example and introduce a system of digitizing personal data in Kazakhstan.
Brave New World
The coronavirus pandemic gave governments around the world a convenient opportunity to test out digital control technologies. Fear of the virus virtually neutralized public backlash. Actions that would have been seen as an impermissible violation of privacy before the pandemic were suddenly perceived as a lifeline.
Even if the governments delete the personal information they have collected, they will retain their improved skills of monitoring citizens, which can then be applied for a range of objectives, from fighting crime to monitoring “suspect” individuals or political opponents.
Current technologies are not advanced enough to carry out totalitarian control on a large scale. Digital surveillance cannot stop truly large-scale unrest: it’s the police, not cameras, that actually detain people. However, the existing toolkit is sufficient to monitor and neutralize specific politicians and activists. Individuals might not notice the digital control systems in their cities and countries until they find themselves in their crosshairs.
The pandemic has shifted the balance between privacy and security (interpreted differently in different countries) from the former to the latter. When the shock from the pandemic wears off, post-COVID societies will have to search for new mechanisms to curb the desire of the authorities for total digital control.
This article was published as part of the “Relaunching U.S.-Russia Dialogue on Global Challenges: The Role of the Next Generation” project, implemented in cooperation with the U.S. Embassy to Russia. The opinions, findings, and conclusions stated herein are those of the author and do not necessarily reflect those of the U.S. Embassy to Russia.
Carnegie does not take institutional positions on public policy issues; the views represented herein are those of the author(s) and do not necessarily reflect the views of Carnegie, its staff, or its trustees.
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