Explainer
AI - Artificial Intelligence
Culture
Digital
6 min read

Tech has changed: it’s no longer natural or neutral

The first 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.

A caveman holding a hammer looks at a bench on which are a broken bicycle and a laptop.
Nick Jones/Midjourney.ai.

My son was born in February last year and it seems that every day he is developing new skills or facial expressions and adorable quirks. Just the other day he was playing with some wooden blocks and when they inevitably fell over, he let out the most adorable giggle. As you can guess I immediately reached for my phone so that I could capture the moment. Moments like this happen all the time in the life of a modern parent- we want to share with our spouse, family, and friends or just capture the moment for ourselves because it’s something we treasure. And yet, in this series of articles I would like to consider this moment, and the thousands like it that take place in a technological society, and ask: is everything as benign as it seems? 

There are two ideas that often come up whenever people talk about technology. The first is that technology is basically ‘neutral’, that technology only becomes good or bad depending on what you are doing with it. “Look at a hammer,” someone might say, “there is nothing intrinsically good or bad about this hammer, only the end result is good or bad depending on whether I’m using it to hit nails or people!” On this reading of technology, the only important questions relate to the consequences of use.  

If technology is neutral, then the primary concern for users, legislators and technologists is the consequences of technology, and not the technology itself. The only way to ensure that the technology is used for good is to ensure, somehow, that more good people will use the technology for good things than bad people using it for bad things. Often this idea will present itself as a conversation about competing freedoms: very few people (with some important exceptions, see this article from Ezra Klein) are debating whether there is something intrinsically problematic about the app formerly known as Twitter, most discussion revolves around how to maintain the freedom of good users while curtailing the freedom of bad users. 

We assume that these tools of social interaction like Facebook and Instagram are, in and of themselves, perfectly benign. We are encouraged to think this by massive corporations who have a vested interest in maintaining our use of their platforms, and at first glance, they seem completely harmless: what could possibly be the problem with a website in which grandma can share photos of her cat? And while the dark underbelly of these platforms has violent real-world consequences – like the rise of antisemitism and anti-Muslim hatred – the solution is primarily imagined as a matter of dealing with ‘bad actors’ rather than anything intrinsically problematic with the platforms themselves. 

Jobs here draws a straight-line comparison between the bicycle and the PC. As far as Jobs is concerned, there is no quantitative difference in kind between the two tools.

The second idea is related but somewhat different: Advocates of modern technology will suggest that humanity has been using technology ever since there were humans and therefore all this modern technology is not really anything to worry about. “Yes, modern technology looks scary,” someone might say, “but it’s really nothing to worry about, humans have been using tools since the Stone Age don’t you know!” This view proposes that because hammers are technology, and all technology is the same, there is, therefore, no difference between a hammer and the internet, or between the internet and a cyborg.  

This second idea tends to be accompanied by an emphasis on the slow and steady evolution of technology and by highlighting the fact that at every major technological advancement there have been naysayers decrying the latest innovation. (Even Plato was suspicious of writing when that was invented). Taken as part of a very long view of human history, the technological innovations of the last 100 years seem to be a normal and natural part of the evolution of our species which has always set itself apart from the rest of the animal kingdom in its use of technology. 

Steve Jobs gives a good example of this in an interview he gave about the development PC: 

“I think one of the things that really separates us from the high primates is that we’re tool builders. I read a study that measured the efficiency of locomotion for various species on the planet. The condors used the least energy to move a kilometer. And humans came in with a rather unimpressive showing about a third of the way down the list… not too proud of a showing for the crown of creation… But then somebody at Scientific American had the insight to test the efficiency of locomotion for a man on a bicycle. And a human on a bicycle blew the condor away – completely off the top of the charts. 

And that’s what a computer is to me… It’s the most remarkable tool we’ve ever come up with… It’s the equivalent of a bicycle for our minds”  

Notice that Jobs here draws a straight-line comparison between the bicycle and the PC. As far as Jobs is concerned, there is no quantitative difference in kind between the two tools: one is more complex than the other but otherwise, they are just technologies that expand human capacity. “A Bicycle for our minds” is a fascinating way to describe a computer because it implies that nothing about our minds will be changed, they’ll just be a little bit faster. 

And yet, despite the attempts of thought leaders like Jobs to convince us that modern technology is entirely benign, many of us are left with a natural suspicion that there is more going on. As a priest in the Church of England, I often have conversations with parishioners and members of the public who are looking for language or a framework which describes the instinctive recognition that something has changed at some point (fairly recently) about the nature of the technology that we use, or the way that it influences our lives. That modern technology is not simply the natural extension of the sorts of tools that humans have been using since the Stone Age and that modern technology is not neutral but in significant ways has already had an effect regardless of how we might use it. How do we respond to such articulate and thoughtful people such as Steve Jobs who make a compelling case that modern technology is neutral and natural?  

I often have conversations with parishioners who are looking for language or a framework which describes the instinctive recognition that something has changed about the nature of the technology that we use, or the way that it influences our lives.

Thinking back to that moment with my son when he giggles and I take a photo of him, at first glance it seems completely innocuous. But what resources are available if I did want to think more carefully about that moment (and the many like it) which suffuse my daily life? Thankfully there is a growing body of literature from philosophers and theologians who are thinking about the impact of modern technology on the human condition.  In the next two articles I would like to introduce the work of Martin Heidegger, outline his criticism of modern technology, showing how he challenges the idea that technology is simply a natural extension of human capacity or a neutral tool.  

Heidegger is a complex character in philosophy and in Western history. There is no getting around the fact that he was a supporter of the Nazi Party during the second world war. His politics have been widely condemned and rightly so, nevertheless, his insights on the nature of modern technology continue to this day to provide insights that are useful. His claim is that modern technology essentially and inevitably changes our relationship with the world in which we live and even with ourselves. It is this claim, and Heidegger’s suggested solution, that I will unpack in the next two articles. 

Article
AI - Artificial Intelligence
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. 

Join with us - Behind the Seen

Seen & Unseen is free for everyone and is made possible through the generosity of our amazing community of supporters.

If you’re enjoying Seen & Unseen, would you consider making a gift towards our work?

Alongside other benefits (book discounts etc.), you’ll receive an extra fortnightly email from me sharing what I’m reading and my reflections on the ideas that are shaping our times.

Graham Tomlin

Editor-in-Chief