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. 

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Article
AI - Artificial Intelligence
Character
Culture
Digital
7 min read

Apple’s AI ads show how we can lose our moral skills

Apple Intelligence promises to safeguard us from the worst of ourselves.

Jenny is training to be a priest. She holds a PhD in law and writes at the intersection of law, politics and theology.

A worker at a desk sits back contemplating a situation
Dour Dale contemplates AI.
Apple.

“I got through the three stages of the interview process, and they said I had done well, but they aren’t hiring any computer science graduates anymore. AI is cheaper, and faster.”

John*, a bright 24-year-old coder and philosopher, has just completed an MSc in Computer Science from one of the top universities in the UK. And he can’t find a job. AI has outcompeted him. In a couple of years, he says, entry level into computer science as a field will require a PhD. What about in ten years, or twenty? Will the only people able to work in the field have to effectively be geniuses to keep up with a technology that’s metastasizing at the rate of knots? It felt painfully ironic to be discussing over coffee the death of an entire sector of meaningful jobs less than a week after the new Labour government announced its plans to “turbocharge” AI (Artificial Intelligence) as the saviour of the nation’s economy. What are we willing to sacrifice in the name of “national renewal”?  

As worrying as John’s story is, there is much more than jobs – and the skills, knowledge and social relations tied up in them – on the line when it comes to AI. The alleged saviour of the nation’s economy is after your soul as well, it turns out.  

This came home to me starkly over the Christmas holidays with the new advertisements for Apple Intelligence tools on MacBook Pro. In the first ad, “Lazy Lance” – a procrastinating business professional – sheepishly shifts in his seat. He has been asked to make a presentation on the new business prospectus, and he has been caught out, unprepared. But he is saved at the last moment. The click of the “Key Points” button using the new Apple Intelligence software on his MacBook Pro provides him with the critical breakdown summary needed to avoid becoming the pariah of the team. The sheepish shifting turns to smug smile: his substandard performance has evaded detection with the ready aid of Apple Intelligence.  

In the second ad, “Dour Dale” – a disgruntled office worker – writes a scathing email to the “monster” who has devoured his pudding from the communal fridge. Before clicking send on this missive, he raises his eyes from the raging words on his screen to see a pious teddy bear holding a love-heart which says “find your kindness.” This moral cue from a cuddly toy prompts Dave to select the “Friendly” button from the dropdown list on Apple Intelligence writing tools, which immediately converts his childish strop over pudding thievery into a mature response in which he kindly expresses his disappointment along with a polite request for the pudding to be returned. The only moral effort required of Dale is the click of a button; Apple Intelligence sorts out the bile and the blame and re-presents his pudding fury in a professionally palatable manner.  

These advertisements for AI tools are designed to provoke an empathetic laugh. Who indeed can honestly say they have never arrived unprepared to a meeting, or at least mentally penned a vindictive response to the tiniest office slight?  

AI is poised to strike at the root of our individual virtue, by inserting itself as an emotional regulator. 

However, underneath the easy laughs, I felt a profound sense of dis-ease when watching them. They indicate just how far AI has already begun to penetrate our moral economy. By inserting a technological tool to disguise or translate social interactions into new terms, our moral relations with each other are deceptively smoothed to avoid the social and personal costs of shame (e.g. Lance using “Key Points” rather than owning up to his poor work ethic) and anger (e.g. Dale using “Friendly” mode to transform his email from raging diatribe into courteous appeal). As appealing as it sounds to have automatic tech weapons to tranquilise social and emotional bugbears, they also remove daily opportunities to learn how to live and work together.  

For example, as excruciating as it is to be the person who came to the meeting woefully under-prepared, embarrassment can be a very useful corrective in learning the art of time management as well as the virtue of pulling our weight. We probably all know from school what it feels like to work on a group project, when only half the group cares about the outcome. If we do not learn moral skills of responsibility and accountability in our formative years, the workplace becomes a vital school for virtue in adulthood where we learn what it means to be trusted and how to be worthy of it. As in the case of Lance, AI now offers us everyday tools which help us to avoid embarrassment and effectively hide our lack of effort, taking the edge off of the very exposure that would help us to grow in both skill and trustworthiness. This is not propaganda for the Protestant work ethic but rather a top survival tip for the human soul in hyper-capitalist economy. Maintaining the moral significance of our labour as a school of formation in self-respect and trustworthiness does not baptise the extractive and exploitative nature of many workplaces. Rather, it offers a means of resistance to the soul-destroying idea that we are all replaceable, that nothing really matters and that our efforts are simply grist for the eternal and insatiable mill of market supply and demand.

In the case of Dale, Apple Intelligence goes beyond protecting users from social shame: it promises to safeguard us from the worst of ourselves. Of the two Apple Intelligence advertisements, I find Dale’s to be even more pernicious because it evidences how AI is poised to strike at the root of our individual virtue, by inserting itself as an emotional regulator. Rather than doing the difficult work of redrafting the email himself, which would require Dale to critically examine his own reactions and put himself into the shoes of the recipient, Apple Intelligence offers to do it automatically. By short-circuiting Dale’s process of recognising the emotions underneath his rage, he misses a critical opportunity to learn for himself what his anger is all about, and even more than that, to practice the art of genuine self-mastery in conflict. The AI tool smooths out the conflict on the surface, while Dale is presumably left with all those rotten feelings built up and unprocessed, because he has not had to do the difficult work of converting his aggressive monologue into a respectful dialogue with another human being.

The insertion of these seemingly innocuous AI tools into the spheres of our everyday, workaday lives introduces new means and modes of (self) deception in our habits, where we are able to hide much more easily from honest moral evaluation of the quality of our work as well as our interpersonal relationships. It also risks new heights of moral “de-skilling” over time as we live in a social and economic world that has become so deeply mediated by technology, to the point where we may very well eventually trust Apple as the gold standard of professional behaviour rather than our own discernment. The soul – our very interiority – is the new frontier of economic expansion, in the name of securing Britain’s place in the ranks of global competitiveness.

To AI enthusiasts, all this may sound like Luddite naysaying. Many people find AI tools helpful in the process of research and preparation. Even some priests, I have recently discovered, use Chat GPT to aid sermon-writing. And what, as a priest friend asked me recently, is the problem with these time-saving tools, as long as we use them critically?

Apart from the obvious answer that AI can’t be trusted to get all the facts right, let alone the word of God, this question presumes that human beings’ critical faculties and moral compasses remain fundamentally unaffected by these new technologies. It may be true for older generations (whose formative years occurred well before the meteoric surge of digital technology in the early 2000s) that technology continues to function as an optional extra to make life that little bit easier. But for Gen Z and below, and even for some younger millennials, intuitive digital technologies have become so fused with the ways that we learn and process information that it is no longer – if it ever was – a neutral tool to improve our lives. We are only learning now about the extent to which social media has thoroughly penetrated the emotional worlds of teenagers, with severe consequences for their wellbeing. What will be the consequences for the generations to come, when AI becomes so integrated into the emotional and social fabric of our lives that we cannot quite tell where we start and it begins? The risk with “turbocharging” AI is not only a huge number of jobs, but the atrophy of our moral muscles as AI encroaches further into the heartlands of what it means to be human. While a few tech elites may always stay one step ahead of AI and keep it safely in the toolbox rather than the driver’s seat, most of us time-poor plebians are being taken for the ride of our lives.

 

 *Name changed for anonymity. 

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