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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Explainer
Attention
Care
Culture
Psychology
5 min read

How to help someone with ADHD to live well

Overstimulation, inner critics, and the quiet power that restores balance
An emoji-style brain divided in two with active emojis one side and calm ones the other.
Nick Jones/Midjourney.ai.

This week’s headlines about ADHD in the UK paint a troubling picture. NHS England commissioned an ADHD Taskforce which has warned that waiting lists for assessment and support are “unacceptably long”, with services buckling under the pressure of rising demand. In some areas, including Coventry and Warwickshire, NHS boards have even paused new adult referrals to prioritise children. Charities are already preparing legal challenges. 

Among the Taskforce’s key recommendations is a call for general practitioners to take on a bigger role. Rather than referring every suspected case to specialist services, GPs are to receive training to recognise and manage ADHD within primary care – a shift intended to relieve the enormous strain on the system. But this raises a human question as well as a policy one: while people wait (often for months or even years) what can families and friends do to help? And might some of these strategies reduce the need for crisis-level specialist support in the first place? 

Around  five per cent of the population is thought to have ADHD, though the true figure may be higher. Rising diagnosis rates have prompted some scepticism: are we simply getting better at recognising the condition, or is something new happening in our overstimulated modern world? 

Psychiatrists Edward Hallowell and John Ratey suggest that many of us now live in an attention environment that mimics ADHD. They call this phenomenon VAST: Variable Attention Stimulus Trait. VAST is not a disorder, and it is not “ADHD lite”; rather, it’s a product of neuroplasticity, i.e., the brain’s capacity to adapt to its environment. ADHD, by contrast, is neurodevelopmental – it is part of how a person’s brain is wired from the start. ADHD can’t be “undone” – nor would many want it to be. ADHD is a way of being that entails many strengths as well as struggles, as I have written about before. But where there are struggles, both ADHD and VAST respond to similar strategies for living well. 

Hallowell and Ratey describe the brain as operating through a set of overlapping neural networks. Two of these, the Task Positive Network and the Default Mode Network, play a key role in attention and focus. The Task Positive Network switches on when we’re engaged in a clear, structured activity: writing an email, cooking dinner, solving a problem. When it’s active, we’re absorbed and unselfconscious. The Default Mode Network, by contrast, takes over when we’re not focused on a specific task. It’s the realm of daydreaming, reflection, and big-picture thinking – reviewing what we’ve done, imagining what comes next. 

For most people, the brain glides between these two states smoothly. But in today’s hyperconnected, screen-saturated culture, many of us – especially those with VAST – flicker between them too quickly, never giving our Default Mode Network enough time to process what has just happened. The result is stress, restlessness, and mental exhaustion. 

In ADHD, though, the problem is different and deeper. Brain scans suggest that both networks may be running simultaneously, and the Default Mode Network in particular has a knack for interrupting. Imagine trying to finish a task while a running commentary in your head constantly questions its worth, urgency, or achievability. That’s the ADHD experience: the Default Mode’s chatter makes tasks hard both to start and to finish. 

But the Default Mode Network isn’t all bad. It can be a source of creativity, moral reflection, and meaning. It’s the voice that tells you a task matters, that something is worth your effort. Hallowell and Ratey liken it to the classic “angel and devil” on your shoulders – but the devil often shouts louder. That’s partly because the human brain is wired to prioritise threat. We remember criticism more vividly than praise, and replay social embarrassments more easily than successes. For people with ADHD, this negativity bias can be overwhelming. As Hallowell and Ratey put it: 

“People who have ADHD or VAST are particularly prone to head towards gloom and doom in their minds because they have stored up in their memory banks a lifetime of failure, disappointment, shame, and frustration. Life has taught them to expect the worst.” 

This relentless inner critic drives many ADHDers to self-soothe – ideally through human connection, but too often through less healthy means: food, alcohol, drugs, or risky behaviours. Statistically, people with ADHD are ten times more likely to develop an addiction, and their average lifespan is at least 13 years shorter than that of the general population. 

So how can friends and family help? Is there a way to interrupt the drive to self-medicate in self-destructive ways? The answer, remarkably, is so ancient and simple as to almost seem facile: it is love. 

When the Default Mode Network first hits upon a negative self-judgement, its instinct is to reach outward – to seek comfort and belonging. If connection is unavailable, the “devil voice” finds substitutes in addictive or numbing behaviours. But when real, safe relationships are present, they act as a protective buffer. Studies show that people with ADHD who experience strong, consistent love from partners, friends and family have lower addiction rates, better health, and longer lives. 

Of course, loving someone with ADHD can sometimes demand extra patience. Your ADHD friend or family member is likely to be the most creative, empathetic, and generous person you know, yet also the one who forgets your birthday, arrives late, or leaves your message unanswered. None of this is intentional neglect; it is the Default Mode’s interference – the whisper that says, “They probably don’t like me that much anyway.” Understanding this dynamic transforms frustration into compassion. It helps us see that behind the missed text is someone fighting an invisible cognitive tug-of-war – a loved one who needs reassurance, not reprimand. 

Even for those without ADHD, our era of constant notifications and information overload is training our brains toward VAST-like patterns. We’re pulled between self-judgment and self-justification, between doing and ruminating, with little space for rest. Learning to quiet the inner critic and nurture connection is good for all of us. 

When we tune into the gentler side of our Default Mode Network – the voice that says “You are valuable to the people around you” – mistakes lose their sting, and perfection ceases to be the price of self-worth. 

The NHS may take years to fully resolve its ADHD backlog. But in the meantime, there is meaningful work that families, friends, and communities can do. We can offer the connection that helps quiet the inner storm by being the person who reaches out, forgives the lateness, and replies with warmth even when the other couldn’t. 

This may not shorten the waiting list, but it could lengthen lives. For the millions with ADHD, and the millions more living with VAST, love is not a sentimental afterthought – it is the neurological antidote to despair. 

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