Seen in Beijing: what’s it like in a surveillance society?

Cameras and controls remind a visitor to value freedom.

Alex Ross

A guard stands behind a barrier across an entrance to a station escalator.

A Beijing station gate and guard.

The recent Archers’ storyline wouldn’t have worked in Beijing. Here, great gantries of traffic cameras see into cars and record who is driving, so a court case which hinged on who was behind the wheel would not play out in months of suspense. The British press periodically runs stories on how much tracking and surveilling we are subject to, while the success of the TV series Hunted showed just how hard it is it to evade detection, and how interested we are in the possibility—but how often do we stop to think about the tensions inherent in the freedoms we enjoy?

It is difficult to explain just how free life in Britain is to someone in China, and how precious, and conducive to social good, that freedom is, to people at home. Take my recent experiences. Prior to entry at Beijing airport, I was randomly chosen for a health check and required to give a mouth swap. This may have been a benign Covid testing program, but it was impossible to tell from the questions on screen we had to answer—and a mouth swab certainly hands DNA to the authorities. At the university where I was studying, face scans are required for entry on every gate, and visitors must be registered with state ID in advance. Despite not having been in China since prior to Covid restrictions, my face had been pre-programmed into the system and an old photograph flashed up on screen as the barriers opened.

The first time I used a rental bike to cycle back to campus (the local Boris-bikes come on a monthly scheme, linked to a registered phone number), a message flashed up on my phone telling me that I had gone the wrong way down a one-way bike lane. The banner appeared twice, and the system would not let me lock the bike until I had acknowledged my error. The fact that the GPS system tracks the bikes so closely it knew I had gone against the traffic flow for a couple of hundred metres to avoid cycling across a 4-lane street was a surprise. Since that phone is registered to a Chinese friend, such infractions are also potentially a problem for him. What was less surprising, is the systemic nature of China’s ability to track its people at all times.

Walking through my university campus, where every junction has three or four cameras covering all directions, I occasionally wonder where students find space to have a quick snog.

No one uses cash in cities in China; in many outlets and places cash isn’t even accepted. Everyone uses apps like WeChat or Alipay to pay for goods—even at food trucks and casual stalls the vendor has a machine to scan a phone QR code. WeChat is WhatsApp and Facebook and a bank debit card and a travel service and news outlet rolled into one; Alipay, its only effective rival, offers similar. To obtain either account, a phone number is needed, numbers which have to be registered. And to pay for anything, a bank account in the name of the individual must be linked to the account. In other words, the government can choose to know every purchase I make, and its exact time and place. A friend who works in a bank says he uses cash where possible because he doesn’t want his colleagues in the bank to see what he's been buying.

Transport is also heavily regulated. To enter a train station, a national ID card is needed, which is scanned after bags are x-rayed. To purchase a high-speed train ticket, a national ID card—or passport for foreigners—is required. It might be possible to purchase a ticket anonymously in cash from a ticket window outside the station for an old-fashioned slow train, but one would still need an ID card corresponding to the face being scanned to make it to the platform—and the train station has, of course, cameras at every entrance and exit.

Cameras are pervasive. Walking through my university campus, where every junction has three or four cameras covering all directions, I occasionally wonder where students find space to have a quick snog. The only place I have not yet noticed cameras is the swimming pool changing rooms, which are communal, and in which I am the only person not to shower naked. There are cameras in the church sanctuary, and cameras on street crossings.

Imagine being constantly reminded by human overseers that your activity in person and online is both seen and heard.

Even when not being watched, out in the countryside, the state makes its presence felt. On a recent hike in the hills, our passage triggered a recording every few hundred metres: “Preventing forest fires is everyone’s responsibility.” Once or twice is common sense, ten or twenty times a stroll is social intrusion. One can, of course, learn to ignore the posters, the announcements, the security guards on trains playing their pre-recorded notices as they wander up the aisles and the loud speaker reminders that smoking in the toilets or boarding without a ticket would affect one’s social credit score and imperil future train travel, but white noise shapes perception.

As a (mostly) upright citizen, there are many upsides to constant surveillance. People leave their laptops unattended on trains, since they will not be stolen. Delivery packages are left strewn by the roadside or by a doorway: anyone stealing them will be quickly found. There is almost no graffiti. I can walk around at night safe in the knowledge that I am exceedingly unlikely to be a victim of petty theft, let alone knife or gun crime. Many Chinese have horrified tales of pickpockets in European cities or crime rates in the UK, while young friends are so used to the state having access to phone data and camera logs that they barely notice. Most Chinese I know are very happy with the trade-off of surveillance for safety—and the longer I spend in Beijing, the more appealing that normality seems.

To those who have lived outside, however, the restrictions make for a more Orwellian existence. Any church group wanting to hold an online service must apply for a permit. A friend was recently blocked from his WeChat account for a period after using a politically sensitive term in a family group-chat. Not being able to access certain foreign websites, search engines or media (no Google, no WhatsApp and no Guardian without an illegal virtual private network) might be an irritation for a foreign resident but means a lifetime of knowingly limited information for a citizen. Not being able to access information freely means, ultimately, not being able to think freely, a loss that cannot be quantified. The elite can skip over the firewall, but many cannot.

We have seen the dangers recently in the UK of limited information flow, and of social media interference by hostile players. Imagine never being able to know whether the information you are receiving is trustworthy—or being constantly reminded by human overseers that your activity in person and online is both seen and heard. Christians may believe in the benevolent and watchful gaze of God—but are rightly wary of devolving that omniscience to fellow humans.

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21 June 2024

4 min read

It's our mistakes that make us human

What we learn distinguishes us from tech.

Silvianne Aspray

Silvianne Aspray is a theologian and postdoctoral fellow at the University of Cambridge.

A man staring at a laptop grimmaces and holds his hands to his head.

Francisco De Legarreta C. on Unsplash.

The distinction between technology and human beings has become blurry: AI seems to be able to listen, answer our questions, even respond to our feelings. It becomes increasingly easy to confuse machines with humans. In this situation, it is increasingly important to ask: What makes us human, in distinction from machines? There are many answers to this question, but for now I would like to focus on just one aspect of what I think is distinctively human: As human beings, we live and learn in time.

To be human means to be intrinsically temporal. We live in time and are oriented towards a future good. We are learning animals, and our learning is bound up with the taking of time. When we learn to know or to do something, we necessarily make mistakes, and we take practice. But keeping in view something we desire – a future good – we keep going.

Let’s take the example of language. We acquire language in community over time. Toddlers make all sorts of hilarious mistakes when they first try to talk, and it takes them a long time even to get single words right, let alone to try and form sentences. But they keep trying, and they eventually learn. The same goes with love: Knowing how to love our family or our neighbours near and far is not something we are good at instantly. It is not the sort of learning where you absorb a piece of information and then you ‘get’ it. No, we learn it over time, we imitate others, we practice and even when we have learned, in the abstract, what it is to be loving, we keep getting it wrong.

This, too, is part of what it means to be human: to make mistakes. Not the sort of mistakes machines make, when they classify some information wrongly, for instance, but the very human mistake of falling short of your own ideal. Of striving towards something you desire – happiness, in the broadest of terms – and yet falling short, in your actions, of that very goal. But there’s another very human thing right here: Human beings can also change. They – we – can have a change of heart, be transformed, and at some point in time, actually start to do the right thing – even against all the odds. Statistics of past behaviours, do not always correctly predict future outcomes. Part of being human means that we can be transformed.

Transformation sometimes comes suddenly, when an overwhelming, awe-inspiring experience changes somebody’s life as by a bolt of lightning. Much more commonly, though, such transformation takes time. Through taking up small practices, we can form new habits, gradually acquire virtue, and do the right thing more often than not. This is so human: We are anything but perfect. As Christians would say: We have a tendency to entangle ourselves in the mess of sin and guilt. But we also bear the image of the Holy One who made us, and by the grace and favour of that One, we are not forever stuck in the mess. We are redeemed: are given the strength to keep trying, despite the mistakes we make, and given the grace to acquire virtue and become better people over time. All of this to say that being human means to live in time, and to learn in time.

So, this is a real difference between human beings and machines: Human beings can, and do strive toward a future good.

Now compare this to the most complex of machines. We say that AI is able to “learn”. But what does it mean to learn, for AI? Machine learning is usually categorized into supervised learning, unsupervised and self-supervised learning. Supervised learning means that a model is trained for a specific task based on correctly labelled data. For instance, if a model is to predict whether a mammogram image contains a cancerous tumour, it is given many example images which are correctly classed as ‘contains cancer’ or ‘does not contain cancer’. That way, it is “taught” to recognise cancer in unlabelled mammograms. Unsupervised learning is different. Here, the system looks for patterns in the dataset it is given. It clusters and groups data without relying on predefined labels. Self-supervised learning uses both methods: Here, the system uses parts of the data itself as a kind of label – such as, for instance, predicting the upper half of an image from its lower half, or the next word in a given text. This is the predominant paradigm for how contemporary large-scale AI models “learn”.

In each case, AI’s learning is necessarily based on data sets. Learning happens with reference to pre-given data, and in that sense with reference to the past. It may look like such models can consider the future, and have future goals, but only insofar as they have picked up patterns in past data, which they use to predict future patterns – as if the future was nothing but a repetition of the past.

So this is a real difference between human beings and machines: Human beings can, and do strive toward a future good. Machines, by contrast, are always oriented towards the past of the data that was fed to them. Human beings are intrinsically temporal beings, whereas machines are defined by temporality only in a very limited sense: it takes time to upload data, and for the data to be processed, for instance. Time, for machines, is nothing but an extension of the past, whereas for human beings, it is an invitation to and the possibility for being transformed for the sake of a future good. We, human beings, are intrinsically temporal, living in time towards a future good – which machines do not.

In the face of new technologies we need a sharpened sense for the strange and awe-inspiring species that is the human race, and cultivate a new sense of wonder about humanity itself.