Explainer
AI
Culture
Digital
5 min read

How tech harvests our humanity

The second in a three-part series exploring the implications of technology.

James is Canon Missioner at Blackburn Cathedral. He researches technology and theology at Oxford University.

blue cables converge on a server.

In the first article, I painted a picture of the ordinary person using modern technology, for example, social media on a smart phone. I noted that advocates for modern technology seem to have two basic principles: that technology is natural and neutral. In this next article I want to introduce the philosophy of Martin Heidegger and show how he pushes against these two basic principles and invites us to think again about modern technology. Heidegger’s instinct, as a twentieth century philosopher, is to be suspicious that things are not as they seem, he casts his suspicious gaze over modern technology and sees a way of being that technology encourages that exists underneath the technologies that we use every day. 

What Heidegger wants to show us about modern technology is not related to specific concerns about particular technologies but instead a general suspicion about the ‘essence’ of technology, or, you could say, the spirit of technology. He doesn’t want us to immediately jump to pragmatic questions about how to use technology, as if the primary question is how to make any given technology better or more moral. Instead, Heidegger wants us to take modern technology together as a whole and ask, “What is the essence of this?” Heidegger’s contention is that “technology is not an object or set of objects, nor a way of handling objects with tools, but a form of being the world. It is not something we choose to refuse, but the environment in which modern humans come into existence.”

Heidegger argues that underneath any piece of tech that we might use in our day-to-day lives, technology at its core has already completely changed the way that we as a society understand and interact with the world and everything in it. We live in a technological age and as members of a technological society and so we have been shaped by (to use Christian language, we have been ‘discipled’ by) the spirit of the age to see the world around us. Heidegger suggests that we now see the world as broken down into useable bits that can be categorised and reformed to suit our needs. As Mark Wrathall puts it, the essence of technology is to train us to “experience the world as calling on us or drawing us. To transform everything into stock pieces, so that they can be placed into a vast inventory of options.”[2] Growing up in a technological society means that we see the whole world as an Amazon warehouse a place of seemingly limitless options that can be called upon depending on our needs and quickly delivered.  

A piece of technology such as the smartphone points to a wider ‘spirit’ of technology which intends to position everything, even human beings, as replaceable resources within a larger system. 

The central word that Heidegger uses to describe the essence of technology is gestell which is not an easy word to translate into English, but two possible translations would be ‘positionality’, or ‘enframing’. His point is that the essence of technology is to remove objects, people, and things from their natural environment and position them so that they might become useful, a resource, available for our manipulation. When Heidegger says that the essence of technology is gestell he is pointing to the way that modern technology extracts objects from their contexts and turns them into a quarry to the plundered. There are of course obvious ways in which humanity has always extracted resources from the natural world: we have always quarried for energy (coal, oil etc) or chopped down forests for wood. By claiming that the essence of modern technology is gestell, Heidegger wants us to notice that in the modern world, it’s not just quarries or forests that we mine for resources but now anything and everything can be turned from being a singular object in the world into a recourse for extraction. Everything has become what Heidegger calls “standing reserve.”  

Think again of a smartphone, it is just one of the billions of devices that sit on shelves or, having already been purchased, live in someone else’s pocket. Inside each device are thousands of transistors and circuit boards each of which again are stockpiled in warehouses ready to be replaced if needed or used for some other purpose. Your phone is connected to a network of nodes each of which can be replicated or replaced if needed, no node is unique.  Your latest phone has no unique or prize relation to you, it’s just the latest upgrade which will be recycled in a year or two when the next upgrade becomes available. The person from whom you bought the phone is equally replaceable, just a faceless employee completing a set of controlled and pre-arranged tasks that are designed to be completed by anyone and no one in particular. Likewise, you as the consumer are considered to be little more than “standing reserve” by the companies that supply you with your smartphone and access to their networks. One of many millions of nodes in their system that has been analysed so that your preferences can be expertly mapped to the range of services that they provide. Within that system, you are completely replaceable. A piece of technology such as the smartphone points to a wider ‘spirit’ of technology which intends to position everything, even human beings, as replaceable resources within a larger system: “Every item within this standing reserve is reduced to a position, actively waiting to be called on. Heidegger insists this is no judgment on the radio, the internet, or the smartphone user. It is just the way in which the essence of modern technology interacts with humanity… Heidegger provides a diagnosis of our modern age and the way in which we humans have placed ourselves under the sway of modern technology, as a resource standing within a network which seeks, ultimately, to place, represent, and think of every entity as an object within an all-encompassing system.”

Let’s return to the original thought experiment at the start of the first article: a mother playing with her child, who immediately reaches for her phone to capture the moment when her child does something particularly cute. An advocate for modern technology, like Steve Jobs, may look at that interaction and see only the benefit: a mother wanting to remember a beautiful moment with her child extends the capacities of her brain using a digital tool to aid her memory. But Heidegger would be more suspicious, he would look at that moment and argue instead that the essence of technology is to turn everything, even a precious moment with a cute baby, into a resource to be used at a later date. The unique moment of joy and delight between parent and child becomes caught and codified such that it can be found and replayed at will or easily replicated to send to others. At the extreme end of the spectrum are so-called content creators who reduce themselves to just another resource to be harvested on social media. 

So that is Heidegger’s diagnosis of our technological age, in the final article in this series we will consider Heidegger’s solution and consider what a particularly Christian response to Heidegger’s diagnosis might look like. 

Article
AI
Attention
Culture
5 min read

Will AI’s attentions amplify or suffocate us?

Keeping attention on the right things has always been a problem.

Mark is a research mathematician who writes on ethics, human identity and the nature of intelligence.

A cute-looking robot with big eyes stares up at the viewer.
Robots - always cuter than AI.
Alex Knight on Unsplash.

Taking inspiration from human attention has made AI vastly more powerful. Can this focus our minds on why attention really matters? 

Artificial intelligence has been developing at a dizzying rate. Chatbots like ChatGPT and Copilot can automate everyday tasks and can effortlessly summarise information. Photorealistic images and videos can be generated from a couple of words and medical AI promises to revolutionise both drug discovery and healthcare. The technology (or at least the hype around it) gives an impression of boundless acceleration. 

So far, 2025 has been the year AI has become a real big-ticket political item. The new Trump administration has promised half a trillion dollars for AI infrastructure and UK prime minister Keir Starmer plans to ‘turbocharge’ AI in the UK. Predictions of our future with this new technology range from doom-laden apocalypse to techno-utopian superabundance. The only certainty is that it will lead to dramatic personal and social change. 

This technological impact feels even more dramatic given the relative simplicity of its components. Huge volumes of text, image and videos are converted into vast arrays of numbers. These grids are then pushed through repeated processes of addition, multiplication and comparison. As more data is fed into this process, the numbers (or weights) in the system are updated and the AI ‘learns’ from the data. With enough data, meaningful relationships between words are internalised and the model becomes capable of generating useful answers to questions. 

So why have these algorithms become so much more powerful over the past few years? One major driver has been to take inspiration from human attention. An ‘attention mechanism’ allows very distant parts of texts or images to be associated together. This means that when processing a passage of conversation in a novel, the system is able to take cues on the mood of the characters from earlier in the chapter. This ability to attend to the broader context of the text has allowed the success of the current wave of ‘large language models’ or ‘generative AI’. In fact, these models with the technical name ‘Transformer’ were developed by removing other features and concentrating only on the attention mechanisms. This was first published in the memorably named ‘Attention is All You Need’ paper written by scientists working at Google in 2017. 

If you’re wondering whether this machine replication of human attention has much to do with the real thing, you might be right to be sceptical. That said, this attention-imitating technology has profound effects on how we attend to the world. On the one hand, it has shown the ability to focus and amplify our attention, but on the other, to distract and suffocate it. 

Attention is a moral act, directed towards care for others.

A radiologist acts with professional care for her patients. Armed with a lifetime of knowledge and expertise, she diligently checks scans for evidence of malignant tumours. Using new AI tools can amplify her expertise and attention. These can automatically detect suspicious patterns in the image including very fine detail that a human eye could miss. These additional pairs of eyes can free her professional attention to other aspects of the scan or other aspects of the job. 

Meanwhile, a government acts with obligations to keep its spending down. It decides to automate welfare claim handling using a “state of the art” AI system. The system flags more claimants as being overpaid than the human employees used to. The politicians and senior bureaucrats congratulate themselves on the system’s efficiency and they resolve to extend it to other types of payments. Meanwhile, hundreds of thousands are being forced to pay non-existent debts. With echoes of the British Post Office Horizon Scandal, the 2017-2020 the Australian Robo-debt scandal was due to flaws in the algorithm used to calculate the debts. To have a properly functioning welfare safety net, there needs to be public scrutiny, and a misplaced deference to machines and algorithms suffocated the attention that was needed.   

These examples illustrate the interplay between AI and our attention, but they also show that human attention has a broader meaning than just being the efficient channelling of information. In both cases, attention is a moral act, directed towards care for others. There are many other ways algorithms interact with our attention – how social media is optimised to keep us scrolling, how chatbots are being touted as a solution to loneliness among the elderly, but also how translation apps help break language barriers. 

Algorithms are not the first thing to get in the way of our attention, and keeping our attention on the right things has always been a problem. One of the best stories about attention and noticing other people is Jesus’ parable of the Good Samaritan. A man lies badly beaten on the side of the road after a robbery. Several respectable people walk past without attending to the man. A stranger stops. His people and the injured man’s people are bitter enemies. Despite this, he generously attends to the wounded stranger. He risks the danger of stopping – perhaps the injured man will attack him? He then tends the man’s wounds and uses his money to pay for an indefinite stay in a hotel. 

This is the true model of attention. Risky, loving “noticing” which is action as much as intellect. A model of attention better than even the best neuroscientist or programmer could come up with, one modelled by God himself. In this story, the stranger, the Good Samaritan, is Jesus, and we all sit wounded and in need of attention. 

But not only this, we are born to imitate the Good Samaritan’s attention to others. Just as we can receive God’s love, we can also attend to the needs of others. This mirrors our relationship to artificial intelligence, just as our AI toys are conduits of our attention, we can be conduits of God’s perfect loving attention. This is what our attention is really for, and if we remember this while being prudent about the dangers of technology, then we might succeed in elevating our attention-inspired tools to make AI an amplifier of real attention. 

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