Column
Change
Character
Psychology
4 min read

Look out for the outliers

Seeing the good qualities in others lifts them, benefits us, and makes the world better.
A office worker wearing headphones looks out of a hectic and loud office space around which people are moving
Nick Jones/Midjourney.ai

I was talking to someone the other day. She is a website developer and she’s just changed jobs. She is not a loud person, but anyone who meets her knows she is a person of quality, of depth and presence. She emanates a humble confidence. In her old job, she worked in a quiet, fairly sedate, office where she was given the space and the time to bring all her creativity to bear on whatever brief she was given. She was known and appreciated. 

But her new job – the job she started last week – is a bit different. Her new colleagues are loud and outspoken. Silence is unknown in their office. They like to work to a soundtrack. The drum and bass keep thumping, and the banter never stops flowing. She’s finding it hard to fit in with her new team. And things weren’t made any easier when, after a few days, her new boss took her aside for a pep talk.  

What was the problem? She was ‘too quiet’.  

It hurt to hear that. It broke my heart to think that anyone could be so blind. How shortsighted do you have to be, to view the grace and peace someone carries as a problem to be solved? In a world of distressing noise and clamour, she is precisely the kind of person every office needs to temper the insanity.  

I’m not worried about her. She’s bright and innovative. She’ll work it out. Either her new boss will see sense, or she’ll leave. And if she does, the queue of employers looking for someone just like her stretches round the block. She’ll be okay. 

But it got me thinking about the kind of psychology I study. In my research, she would be called an outlier.  One of those people in a team or a family who don’t quite fit in. Not because they are weird or awkward, but because they possess some positive quality the rest of the gang don’t have. They are the creative exuberant in a team who prefer doing things by the book. The hilarious joker in a pack who like to take things seriously. The conscientious worker trying to get on with the job in an office that would rather play now and work later. The kind one in a family of cutthroat competitors.

At the top of the list of reasons for wanting to leave work are the words: I am not appreciated.

The thing is we all have a unique contribution to make to the world, a one-off fingerprint of strengths and abilities never to be repeated in anyone else. In research these have been called Signature Strengths, the unique combination of positive qualities that make you you. And the weird thing is that we don’t have to try that hard to be them. If you are naturally kind, or wise, or grateful, or disciplined you won’t be able to stop yourself being that way. They come effortlessly to us. And if someone tries to stop us being the loving thoughtful faithful person we know ourselves to be, it is like losing a limb. If we find ourselves in a context where the most beautiful things about us are unwelcome – like my friend the website developer – it is like being rejected, right to the core.  

But here’s the cool thing. If we can live by our Signature Strengths – if we can wake up each morning and ask the question, how can I use my unique positive qualities in a new way today? – it leads to remarkable improvements in wellbeing. Multiple studies have shown that those who live like this, thinking about how they can bring what is best in them to the opportunities and obstacles of each day, report increased happiness in living. Not only that, but they also show reduced anxiety, stress and depression. It turns out being good is good for us. Who knew. 

That’s not the whole story though. To really be our best, we need other people to spot these strengths in us. If they don’t, we feel confined, unable to be ourselves in some way. When I ask people what it is like not to be able to bring their best qualities to the people around them, they come up with some pretty dark images. It is lonely, isolating, a desert, a fog, a prison, like being trapped in a cage. And when researchers ask people why they consider leaving their current job, their answers often reflect something like this. Work-life balance and salary are no doubt important, but often, at the top of the list of reasons for wanting to leave work are the words: I am not appreciated. Something good we wanted to give has not been received. We feel unseen. 

So that’s why I say: look out for the outliers. Who is it in your family, your workplace, your neighbourhood, who goes underappreciated? Who do you know who has something good to give, but needs some help to give it? Because if we can learn to see those invisible beautiful qualities in the people around us, we not only give them the joy of being known, we also invite more light and flavour into the world. Life becomes a little less grey. 

I just hope my friend’s new boss can learn this while he still has the chance. It is tough for her to feel so misunderstood, but it’s worse for him. She can move on, but he has to remain in an office deprived of the humble compassion she would have brought to it. It’s a question worth asking. What gift of beauty and goodness are we excluding from the world because we failed to see past the packaging? 

 

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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