Yet, while the speed and intention of this response to protect workers in the absence of an effective national-level US response was admirable, these Chinese companies are also tied up in forms of egregious human rights abuses.
Dahua is one of the major providers of “smart camp” systems that Vera Zhou experienced in Xinjiang (the company says its facilities are supported by technologies such as “computer vision systems, big data analytics and cloud computing”). In October 2019, both Dahua and Megvii were among eight Chinese technology firms placed on a list that blocks US citizens from selling goods and services to them (the list, which is intended to prevent US firms from supplying non-US firms deemed a threat to national interests, prevents Amazon from selling to Dahua, but not buying from them). BGI’s subsidiaries in Xinjiang were placed on the US no-trade list in July 2020.
Amazon’s purchase of Dahua heat-mapping cameras recalls an older moment in the spread of global capitalism that was captured by historian Jason Moore’s memorable turn of phrase: “Behind Manchester stands Mississippi.”
What did Moore mean by this? In his rereading of Friedrich Engels’s analysis of the textile industry that made Manchester, England, so profitable, he saw 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, Kansas City, and Seoul to respond as rapidly as they did to the pandemic relies in part on the way systems of oppression in Northwest China have opened up a space to train biometric surveillance algorithms.
The protections of workers during the pandemic depends on forgetting about college students like Vera Zhou. It means ignoring the dehumanization of thousands upon thousands of detainees and unfree workers.
At the same time, Seattle also stands before Xinjiang.
Amazon has its own role in involuntary surveillance that disproportionately harms ethno-racial minorities given its partnership with US Immigration and Customs Enforcement to target undocumented immigrants and its active lobbying efforts in support of weak biometric surveillance regulation. More directly, Microsoft Research Asia, the so-called “cradle of Chinese AI,” has played an instrumental role in the growth and development of both Dahua and Megvii.
Chinese state funding, global terrorism discourse, and US industry training are three of the primary reasons why a fleet of Chinese companies now leads the world in face and voice recognition. This process was accelerated by a war on terror that centered on placing Uyghurs, Kazakhs, and Hui within a complex digital and material enclosure, but 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.
The Chinese approach to the pandemic is not the only way to stop it, however. 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 make clear that involuntary surveillance is not the only way to protect the well-being of the majority, even at the level of the nation.
In fact, numerous studies have shown that surveillance systems support systemic racism and dehumanization by making targeted populations detainable. The past and current US administrations’ use of the Entity List to halt sales to companies like Dahua and Megvii, while important, is also producing a double standard, punishing Chinese firms for automating racialization while funding American companies to do similar things.
Increasing numbers of US-based companies are attempting to develop their own algorithms to detect racial phenotypes, though through a consumerist approach that is premised on consent. By making automated racialization a form of convenience in marketing things like lipstick, companies like Revlon are hardening the technical scripts that are available to individuals.
As a result, in many ways race continues to be an unthought part of how people interact with the world. Police in the United States and in China think about automated assessment technologies as tools they have to detect potential criminals or terrorists. The algorithms make it appear normal that Black men or Uyghurs 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 fit into the vision of those in power. The world, not China alone, has a problem with surveillance.
To counteract the increasing banality, the everydayness, of automated racialization, the harms of biometric surveillance around the world must first be made apparent. The lives of the detainable must be made visible at the edge of power over life. Then the role of world-class engineers, investors, and public relations firms in the unthinking of human experience, in designing for human reeducation, must be made clear. The webs of interconnection—the way Xinjiang stands behind and before Seattle— must be made thinkable.
—This story is an edited excerpt from In The Camps: China’s High-Tech Penal Colony, by Darren Byler (Columbia Global Reports, 2021.) Darren Byler is an assistant professor of international studies at Simon Fraser University, focused on the technology and politics of urban life in China.
How Twitter’s “Teacher Li” became the central hub of China protest information
It’s hard to describe the feeling that came after. It’s like everyone is coming to you and all kinds of information from all over the world is converging toward you and [people are] telling you: Hey, what’s happening here; hey, what’s happening there; do you know, this is what’s happening in Guangzhou; I’m in Wuhan, Wuhan is doing this; I’m in Beijing, and I’m following the big group and walking together. Suddenly all the real-time information is being submitted to me, and I don’t know how to describe that feeling. But there was also no time to think about it.
My heart was beating very fast, and my hands and my brain were constantly switching between several software programs—because you know, you can’t save a video with Twitter’s web version. So I was constantly switching software, editing the video, exporting it, and then posting it on Twitter. [Editor’s note: Li adds subtitles, blocks out account information, and compiles shorter videos into one.] By the end, there was no time to edit the videos anymore. If someone shot and sent over a 12-second WeChat video, I would just use it as is. That’s it.
I got the largest amount of [private messages] around 6:00 p.m. on Sunday night. At that time, there were many people on the street in five major cities in China: Beijing, Shanghai, Chengdu, Wuhan, and Guangzhou. So I basically was receiving a dozen private messages every second. In the end, I couldn’t even screen the information anymore. I saw it, I clicked on it, and if it was worth posting, I posted it.
People all over the country are telling me about their real-time situations. In order for more people not to be in danger, they went to the [protest] sites themselves and sent me what was going on there. Like, some followers were riding bikes near the presidential palace in Nanjing, taking pictures, and telling me about the situation in the city. And then they asked me to inform everyone to be cautious. I think that’s a really moving thing.
It’s like I have gradually become an anchor sitting in a TV studio, getting endless information from reporters on the scene all over the country. For example, on Monday in Hangzhou, there were five or six people updating me on the latest news simultaneously. But there was a break because all of them were fleeing when the police cleared the venue.
On the importance of staying objective
There are a lot of tweets that embellish the truth. From their point of view, they think it’s the right thing to do. They think you have to maximize the outrage so that there can be a revolt. But for me, I think we need reliable information. We need to know what’s really going on, and that’s the most important thing. If we were doing it for the emotion, then in the end I really would have been part of the “foreign influence,” right?
But if there is a news account outside China that can record what’s happening objectively, in real time, and accurately, then people inside the Great Firewall won’t have doubts anymore. At this moment, in this quite extreme situation of a continuous news blackout, to be able to have an account that can keep posting news from all over the country at a speed of almost one tweet every few seconds is actually a morale boost for everyone.
Chinese people grow up with patriotism, so they become shy or don’t dare to say something directly or oppose something directly. That’s why the crowd was singing the national anthem and waving the red flag, the national flag [during protests]. You have to understand that the Chinese people are patriotic. Even when they are demanding things [from the government], they do it with that sentiment.
Your microbiome ages as you do—and that’s a problem
These ecosystems appear to change as we age—and these changes can potentially put us at increased risk of age-related diseases. So how can we best look after them as we get old? And could an A-grade ecosystem help fend off diseases and help us lead longer, healthier lives?
It’s a question I’ve been pondering this week, partly because I know a few people who have been put on antibiotics for winter infections. These drugs—lifesaving though they can be—can cause mass destruction of gut microbes, wiping out the good along with the bad. How might people who take them best restore a healthy ecosystem afterwards?
I also came across a recent study in which scientists looked at thousands of samples of people’s gut microbe populations to see how they change with age. The standard approach to working out what microbes are living in a person’s gut is to look at feces. The idea is that when we have a bowel movement, we shed plenty of gut bacteria. Scientists can find out which species and strains of bacteria are present to get an estimate of what’s in your intestines.
In this study, a team based at University College Cork in Ireland analyzed data that had already been collected from 21,000 samples of human feces. These had come from people all over the world, including Europe, North and South America, Asia, and Africa. Nineteen nationalities were represented. The samples were all from adults between 18 and 100.
The authors of this study wanted to get a better handle on what makes for a “good” microbiome, especially as we get older. It has been difficult for microbiologists to work this out. We do know that some bacteria can produce compounds that are good for our guts. Some seem to aid digestion, for example, while others lower inflammation.
But when it comes to the ecosystem as a whole, things get more complicated. At the moment, the accepted wisdom is that variety seems to be a good thing—the more microbial diversity, the better. Some scientists believe that unique microbiomes also have benefits, and that a collection of microbes that differs from the norm can keep you healthy.
The team looked at how the microbiomes of younger people compared with those of older people, and how they appeared to change with age. The scientists also looked at how the microbial ecosystems varied with signs of unhealthy aging, such as cognitive decline, frailty, and inflammation.
They found that the microbiome does seem to change with age, and that, on the whole, the ecosystems in our guts do tend to become more unique—it looks as though we lose aspects of a general “core” microbiome and stray toward a more individual one.
But this isn’t necessarily a good thing. In fact, this uniqueness seems to be linked to unhealthy aging and the development of those age-related symptoms listed above, which we’d all rather stave off for as long as possible. And measuring diversity alone doesn’t tell us much about whether the bugs in our guts are helpful or not in this regard.
The findings back up what these researchers and others have seen before, challenging the notion that uniqueness is a good thing. Another team has come up with a good analogy, which is known as the Anna Karenina principle of the microbiome: “All happy microbiomes look alike; each unhappy microbiome is unhappy in its own way.”
Of course, the big question is: What can we do to maintain a happy microbiome? And will it actually help us stave off age-related diseases?
There’s plenty of evidence to suggest that, on the whole, a diet with plenty of fruit, vegetables, and fiber is good for the gut. A couple of years ago, researchers found that after 12 months on a Mediterranean diet—one rich in olive oil, nuts, legumes, and fish, as well as fruit and veg—older people saw changes in their microbiomes that might benefit their health. These changes have been linked to a lowered risk of developing frailty and cognitive decline.
But at the individual level, we can’t really be sure of the impact that changes to our diets will have. Probiotics are a good example; you can chug down millions of microbes, but that doesn’t mean that they’ll survive the journey to your gut. Even if they do get there, we don’t know if they’ll be able to form niches in the existing ecosystem, or if they might cause some kind of unwelcome disruption. Some microbial ecosystems might respond really well to fermented foods like sauerkraut and kimchi, while others might not.
I personally love kimchi and sauerkraut. If they do turn out to support my microbiome in a way that protects me against age-related diseases, then that’s just the icing on the less-microbiome-friendly cake.
To read more, check out these stories from the Tech Review archive:
At-home microbiome tests can tell you which bugs are in your poo, but not much more than that, as Emily Mullin found.
Industrial-scale fermentation is one of the technologies transforming the way we produce and prepare our food, according to these experts.
Can restricting your calorie intake help you live longer? It seems to work for monkeys, as Katherine Bourzac wrote in 2009.
Adam Piore bravely tried caloric restriction himself to find out if it might help people, too. Teaser: even if you live longer on the diet, you will be miserable doing so.
From around the web:
Would you pay $15,000 to save your cat’s life? More people are turning to expensive surgery to extend the lives of their pets. (The Atlantic)
The World Health Organization will now start using the term “mpox” in place of “monkeypox,” which will be phased out over the next year. (WHO)
After three years in prison, He Jiankui—the scientist behind the infamous “CRISPR babies”—is attempting a comeback. (STAT)
Tech that allows scientists to listen in on the natural world is revealing some truly amazing discoveries. Who knew that Amazonian sea turtles make more than 200 distinct sounds? And that they start making sounds before they even hatch? (The Guardian)
These recordings provide plenty of inspiration for musicians. Whale song is particularly popular. (The New Yorker)
Scientists are using tiny worms to diagnose pancreatic cancer. The test, launched in Japan, could be available in the US next year. (Reuters)
The Download: circumventing China’s firewall, and using AI to invent new drugs
As protests against rigid covid control measures in China engulfed social media in the past week, one Twitter account has emerged as the central source of information: @李老师不是你老师 (“Teacher Li Is Not Your Teacher”).
People everywhere in China have sent protest footage and real-time updates to the account through private messages, and it has posted them, with the sender’s identity hidden, on their behalf.
The man behind the account, Li, is a Chinese painter based in Italy, who requested to be identified only by his last name in light of the security risks. He’s been tirelessly posting footage around the clock to help people within China get information, and also to inform the wider world.
The work has been taking its toll—he’s received death threats, and police have visited his family back in China. But it also comes with a sense of liberation, Li told Zeyi Yang, our China reporter. Read the full story.
Biotech labs are using AI inspired by DALL-E to invent new drugs
The news: Text-to-image AI models like OpenAI’s DALL-E 2—programs trained to generate pictures of almost anything you ask for—have sent ripples through the creative industries. Now, two biotech labs are using this type of generative AI, known as a diffusion model, to conjure up designs for new types of protein never seen in nature.
Why it matters: Proteins are the fundamental building blocks of living systems. These protein generators can be directed to produce designs for proteins with specific properties, such as shape or size or function. In effect, this makes it possible to come up with new proteins to do particular jobs on demand. Researchers hope that this will eventually lead to the development of new and more effective drugs. Read the full story.