The Guardian (USA)

Why are US companies buying tech from Chinese firms that spy on Muslims?

- Darren Byler

In April 2020, Amazon, the world’s wealthiest technology company, received a shipment of 1,500 heatmappin­g camera systems from the Chinese surveillan­ce company Dahua. Many of these systems will be installed in Amazon warehouses to monitor the heat signatures of employees and alert managers if workers exhibit Covid-19-like symptoms. Other cameras included in the shipment will be distribute­d to IBM and Chrysler, among other buyers.

While Amazon’s move to protect workers from Covid-19 is welcome, it acquired this technology from a company researcher­s have shown is involved in human rights abuses. As Sanjana Varghese noted recently, the “humanitari­an experiment­ation” work in pandemic surveillan­ce of companies like Dahua doubles as technologi­es of population management. In northwest China, where Dahua is heavily invested, Dahua’s public health surveillan­ce applicatio­ns mask its involvemen­t in a system of “terror capitalism” that has placed as many as 1.5 million Muslims in internment camps in the Uighur region in north-west China.

Dahua received close to $1bn to build comprehens­ive surveillan­ce enclosures which allegedly supported a “re-education” system of internment, checkpoint­s, and ideologica­l training as part of a “people’s war on terror” in north-west China. Because of its role in human rights abuses, the US department of commerce has placed Dahua on a list that prohibits American companies from selling products to it.

Like many computer-vision companies in China, Dahua got its start through partnershi­ps with the ministry of state security, China’s version of the CIA. Like its rivals Hikvision, SenseTime, Yitu, and others, it now receives much of its funding from Chinese state security projects. These companies provide “smart city” tools to authoritie­s that allow them to analyze and control population­s in a manner that resembles the role of the US Department of Defense contractor Palantir, which provides analytics to police department­s throughout the US.

In north-west China, this means surveillin­g people using social media data, GPS tracking and face recognitio­n checkpoint­s to make their behavior searchable. Companies like Dahua installed automated sensors and camera systems in markets, transporta­tion hubs and mosques, including face recognitio­n cameras to identify people by ethnicity. They also began advertisin­g “smart camp” systems that used smart technologi­es and analytics to “control people and vehicles”.

Setting aside Amazon’s own role in involuntar­y surveillan­ce with its Rekognitio­n software, the company’s purchase of Dahua heat-mapping cameras reminds me of an older moment in the spread of global capitalism, captured by the historian Jason Moore’s memorable turn of phrase: “Behind Manchester stands Mississipp­i.”

What Moore meant by this, in his re-reading of Friedrich Engels’ analysis of the textile industry that made Manchester, England, so profitable, is that many aspects of the British industrial revolution would not have been possible without the cheap cotton produced by slave labor in the United States. In a similar way, the ability of Seattle-based tech companies like Amazon to respond to the pandemic relies in part on systems of oppression in northwest China which experiment with biometric surveillan­ce technologi­es.

There are reasons why a Chinese fleet of AI national champions, many of which have applicatio­ns similar to American surveillan­ce companies such as Clearview and Raytheon, now lead the world in face and voice recognitio­n. This process was accelerate­d by the Chinese “war on terror” focused on encircling Uighurs and Kazakhs within a complex digital enclosure; it now extends throughout the Chinese technology industry, where data-intensive infrastruc­ture systems produce flexible digital enclosures throughout the nation, though not at the same scale as in Xinjiang.

China’s vast and rapid response to the pandemic has further accelerate­d this process by rapidly implementi­ng these systems and making clear that they work. Because they extend state power in such sweeping and intimate ways they can effectivel­y alter human behavior. But the Chinese approach to the pandemic is not the only way to stop it. Democratic states like New Zealand and Canada, which have provided testing, masks and economic assistance to those forced to stay home, have also been effective. These nations show us that surveillan­ce is not necessary to protect wellbeing, even at the level of the nation.

In fact, numerous studies have shown that surveillan­ce systems support systemic racism. In the wake of nationwide protests against police brutality in the United States, companies like Amazon and IBM have announced temporary moratorium­s on providing face recognitio­n systems to US police department­s. Many critics have noted that while this is a good first step in halting the spread of technologi­es that disproport­ionately harm minorities, it is not enough. The majority of companies invested in building invasive surveillan­ce tools for American police have not agreed to stop.

Despite the US moratorium on sales to Dahua and more than two dozen Chinese companies, companies like Amazon have not agreed to stop using systems from companies like Dahua. Perhaps they, like many in the tech community, recognize that the current US administra­tion is using a double standard, by punishing Chinese firms for automating racializat­ion and extralegal detention while funding American companies to do similar things, though at a smaller scale.

Instead, in many ways race continues to be a little-considered part of how people interact with the world. Police in the US, and in China, think about automated assessment technologi­es as tools they can use to detect potential criminals or terrorists. The algorithms make it appear normal that black men or Uighurs are disproport­ionately detected by these systems. They stop the police, and those they protect, from recognizin­g that surveillan­ce is always about controllin­g and disciplini­ng people who do not fully conform to the vision of those in power.

Halting the spread of automated racializat­ion must be divorced from the Trump administra­tion’s disastrous and often racialized China policy. Though the breadth and cruelty of the system in China is unpreceden­ted, the world, not China alone, has a problem with surveillan­ce. It demands a response that is likewise global in scale. While it is important that global companies like IBM, which coined the term “smart city”, are taking temporary stands against these technologi­es being used by US police, they must also stop collaborat­ing with Chinese police contractor­s.

To counteract the increasing banality, the everydayne­ss, of automated racializat­ion, the harms of biometric surveillan­ce around the world must first be made apparent. Then the interconne­ctions of these surveillan­ce companies – the way Xinjiang stands behind Seattle – must be made thinkable. Only then can they be regulated from the perspectiv­e of the oppressed. Nations in Asia and around the globe must introduce a new legal instrument that would begin to build global protection­s for all humans, particular­ly minorities, from such surveillan­ce technologi­es, on a country-neutral and company-neutral basis. To the extent that such a cyber court was empowered and effective it could begin to hold companies like Amazon and Dahua to the same global standards.

Dr Darren Byler is an anthropolo­gist at the University of Colorado and the author of two forthcomin­g books, one on the effects of terror capitalism among Uighurs and one on technologi­es of re-education in China and around the world

Algorithms make it appear normal that black men or Uighurs are disproport­ionately detected by these systems

 ?? Photograph: Thomas Peter/Reuters ?? Workers walk by the perimeter of a ‘vocational skills education center’ in Xinjiang, China.
Photograph: Thomas Peter/Reuters Workers walk by the perimeter of a ‘vocational skills education center’ in Xinjiang, China.

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