Review
Attention
Books
Culture
Digital
3 min read

Only the rich will experience reality

We’re extinguishing our real world

Simon is Bishop of Tonbridge in the Diocese of Rochester. He writes regularly round social, cultural and political issues.

A phone shows a picture of the real view behind it.
Josh Power on Unsplash.

It happens so routinely, no-one notices the weirdness anymore. Tourists in front of a majestic site like the Taj Mahal or the Niagara Falls place a camera between their eyes and the glory of the scene itself. Fans at a stadium concert hold cameras up to the singer rather than dance to the music. Witnesses to a disaster choose to film it rather than go to the assistance of the victims. 

Our desire to experience the world around us is being limited by technology, especially the smartphone and there is a growing body of literature to show its harmful effects, the latest of which is The Extinction of Experience (The Bodley Head, 2025) by Christine Rosen. She is a senior fellow at the American Enterprise Institute, a Washington DC based think tank and she adds to the work of Jonathan Haidt in The Anxious Generation who identifies what social media is doing to young people. Rosen, however, has the adult population in mind, as well. 

Every era has its subtle idolatries and perhaps ours is a slavish devotion to technology. It’s not that technology is wrong, but the expectation we conform to its development rather than the technology adapt to our humanity is slowly toxifying us. To paraphrase Jesus: the smartphone was made for humankind, and not humankind for the smartphone. 

Mediating our relationships by screen leads to instant communication, but also makes us impatient and emotionally careless. Human empathy is an embodied virtue. We learn to pick up emotional clues by watching the subtle facial movements and body language of others as they speak and listen. The growth of emojis is no substitute for this and has all the finesse of a face pulled by Thomas the Tank engine. And we more easily tune out of another person’s problems when they are expressed online rather than to our face.  US college students are around forty percent less empathetic than their counterparts only two or three decades ago, according to the University of Michigan Institute for Social Research.   

There are growing signs that screens reduce human empathy, which may be the most disturbing thing of all and perhaps offers a clue why life is becoming angrier. We spend most of our time lamenting how algorithms polarise us, without addressing an even more fundamental problem: we no longer talk about demanding issues face to face, where listening skills are required, but shout across cyberspace, where listening barely happens. 

But the momentum is for more of the virtual world. The software engineer, Marc Andreessen has coined the phrase ‘reality privilege.’  It belongs to those whose real-world existence is full of flourishing – relationships, wealth, housing, holidays, hobbies.  The solution for those who lack these goods, according to Andreessen and others, is a migration to an ‘online world that makes life and work and love wonderful for everyone, no matter what level of reality deprivation they find themselves in’. 

It is a case of Silicon Valley solutionism, where every problem must have a technological answer. The outcome of migration to an online world is that we no longer need to focus on solving knotty, unglamorous policy issues like poverty, poor housing and low-paid jobs. It also carries a curious echo of the theology which prioritises saving souls from a corrupt world rather than inheriting an embodied resurrection life in a new creation. 

In the two decades after 2003, in-person socialising between American adults dropped by thirty percent; among teenagers it fell by forty-five percent. According to Rosen ‘this changes our behaviour towards others, how we get along or don’t get along, how we resolve conflict, how we understand each other’.  The de-incarnation of human life continues apace, yet it is the physical world is where we flourish, where millennia of brain development has taken place and where God embodied himself in Christ.   

We may come to regret at length the rush to the virtual world, a bit like smoking in the twentieth century. But there is every chance we won’t, because technology is clever and so very cool. The meaning of the incarnation is up for grabs, only this time it’s human, not divine.  

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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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