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

Article
AI - Artificial Intelligence
Creed
Wisdom
6 min read

Forget AI: I want a computer that says ‘no’

Chatbots only tell us what we want to hear. If we genuinely want to grow, we need to be OK with offence

Paul is a pioneer minister, writer and researcher based in Poole, Dorset.

A person hold their phone on their desk, a think bubble from it says 'no'.
Nick Jones/Midjourney.ai.

It is three years since the public release of Open AI’s ChatGPT. In those early months, this new technology felt apocalyptic. There was excitement, yes – but also genuine concern that ChatGPT, and other AI bots like it, had been released on an unsuspecting public with little assessment or reflection on the unintended consequences they might have the potential to make. In March 2023, 1,300 experts signed an open letter calling for a six month pause in AI labs training of the most advanced systems arguing that they represent an ‘existential risk’ to humanity. In the same month Time magazine published an article by a leading AI researcher which went further, saying that the risks presented by AI had been underplayed. The article visualised a civilisation in which AI had liberated itself from computers to dominate ‘a world of creatures, that are, from its perspective, very stupid and very slow.’ 

But then we all started running our essays through it, creating emails, and generating the kind of boring documentation demanded by the modern world. AI is now part of life. We can no more avoid it than we can avoid the internet. The genie is well and truly out of the bottle.  

I will confess at this point to having distinctly Luddite tendencies when it comes to technology. I read Wendell Berry’s famous essay ‘Why I will not buy a computer’ and hungered after the agrarian, writerly world he appeared to inhabit; all kitchen tables, musty bookshelves, sharpened pencils and blank pieces of paper. Certainly, Berry is on to something. Technology promises much, delivers some, but leaves a large bill on the doormat. Something is lost, which for Berry included the kind of attention that writing by hand provides for deep, reflective work.  

This is the paradox of technology – it gives and takes away. What is required of us as a society is to take the time to discern the balance of this equation. On the other side of the equation from those heralding the analytical speed and power of AI are those deeply concerned for ways in which our humanity is threatened by its ubiquity. 

In Thailand, where clairvoyancy is big business, fortune tellers are reportedly seeing their market disrupted by AI as a growing number of people turn to chat bots to give them insights into their future instead.  

A friend of mine uses an AI chatbot to discuss his feelings and dilemmas. The way he described his relationship with AI was not unlike that of a spiritual director or mentor.  

There are also examples of deeply concerning incidents where chat bots have reportedly encouraged and affirmed a person’s decision to take their own life. Adam took his own life in April this year. His parents have since filed a lawsuit against OpenAI after discovering that ChatGPT had discouraged Adam from seeking help from them and had even offered to help him write a suicide note. Such stories raise the critical question of whether it is life-giving and humane for people to develop relationships of dependence and significance with a machine. AI chat bots are highly powerful tools masquerading behind the visage of human personality. They are, one could argue, sophisticated clairvoyants mining the vast landscape of the internet, data laid down in the past, and presenting what they extract as information and advice. Such an intelligence is undoubtedly game changing for diagnosing diseases, when the pace of medical research advances faster than any GP can cope with. But is it the kind of intelligence we need for the deeper work of our intimate selves, the soul-work of life? 

Of course, AI assistants are more than just a highly advanced search engines. They get better at predicting what we want to know. Chatbots essentially learn to please their users. They become our sycophantic friends, giving us insights from their vast store of available knowledge, but only ever along the grain of our desires and needs. Is it any wonder people form such positive relationships with them? They are forever telling us what we want to hear.  

Or at least what we think we want to hear. Because any truly loving relationship should have the capacity and freedom to include saying things which the other does not want to hear. Relationships of true worth are ones which take the risk of surprising the other with offence in order to move toward deeper life. This is where user’s experience suggests AI is not proficient. Indeed, it is an area I suggest chatbots are not capable of being proficient in. To appreciate this, we need to explore a little of the philosophy of knowledge generation.  

Most of us probably recognise the concepts of deduction and induction as modes of thought. Deduction is the application of a predetermined rule (‘A always means B…’) to a given experience which then confidently predicts an outcome (‘therefore C’). Induction is the inference of a rule from series of varying (but similar) experiences (‘look at all these slightly different C’s – it must mean that A always means B’). However, the nineteenth century philosopher CS Pierce described a third mode of thought that he called abduction.  

Abduction works by offering a provisional explanatory context to a surprising experience or piece of information. It postulates, often very creatively and imaginatively, a hypothesis, or way of seeing things, that offers to make sense of new experience. The distinctives of abduction include intuition, imagination, even spiritual insight in the working towards a deeper understanding of things. Abductive reasoning for example includes the kind of ‘eureka!’ moment of explanation which points to a deeper intelligence, a deeper connectivity in all things that feels out of reach to the human mind but which we grasp at with imaginative and often metaphorical leaps.  

The distinctive thing about abductive reasoning, as far as AI chatbots are concerned, lies in the fact that it works by introducing an idea that isn’t contained within the existing data and which offers an explanation that the data would not otherwise have. The ‘wisdom’ of chatbots on the other hand is really only a very sophisticated synthesis of existing data, shaped by a desire to offer knowledge that pleases its end user. It lacks the imaginative insight, the intuitive perspective that might confront, challenge, but ultimately be for our benefit. 

If we want to grow in the understanding of ourselves, if we genuinely want to do soul-work, we need to be open to the surprise of offence; the disruption of challenge; the insight from elsewhere; the pain of having to reimagine our perspective. The Christian tradition sometimes calls this wisdom prophecy. It might also be a way of understanding what St Paul meant by the ‘sword of the Spirit’. It is that voice, that insight of deep wisdom, which doesn’t sooth but often smarts, but which we come to appreciate in time as a word of life. Such wisdom may be conveyed by a human person, a prophet. And the Old Testament’s stories suggests that its delivery is not without costs to the prophet, and never without relationship. A prophet speaks as one alongside in community, sharing something of the same pain, the same confusion. Ultimately such wisdom is understood to be drawn from divine wisdom, God speaking in the midst of humanity   

You don’t get that from a chatbot, you get that from person-to-person relationships. I do have the computer (sorry Wendell!), but I will do my soul-work with fellow humans. And I will not be using an AI assistant. 

Support Seen & Unseen

Since Spring 2023, our readers have enjoyed over 1,500 articles. All for free. 
This is made possible through the generosity of our amazing community of supporters.

If you enjoy Seen & Unseen, would you consider making a gift towards our work?

Do so by joining Behind The Seen. Alongside other benefits, you’ll receive an extra fortnightly email from me sharing my reading and reflections on the ideas that are shaping our times.

Graham Tomlin
Editor-in-Chief