Article
Comment
Digital
5 min read

Browsing our bias

Should we curate our feeds for community or for challenge?

Paula Duncan is a PhD candidate at the University of Aberdeen, researching OCD and faith.

A woman stands between two table, one of friends and the other more argumentative.
Nick Jones/Midjourney.ai.

 “Would you like to continue using this app?” 

I stare at the question on my phone screen. It’s there by design – I have it set to prompt me every five minutes so that I don’t fall into the trap of endless scrolling. Often, it’s enough to make me close the app and move on with my day.  

Today, however, I’ve been doomscrolling - endlessly flicking through the discussions around the General Election. I have already told my phone I’d like to keep this social media app for another five minutes, and another five minutes, and another. I didn’t open X with any real hope of finding answers to my many questions about the upcoming election (the crucial one being: “who should I vote for?!”). From there, I’ve fallen down a rabbit hole. There is simply too much information, and I can’t always tell what is real or true. I can’t make it more than two or three posts before I stumble across yet another logical fallacy or false equivalency. 

When my phone prompts me again to close the app, I pause. I have suddenly realised that I’m upset. It has taken the pop-up box on my phone to make me pause and notice that that I’m overwhelmed and helpless but I still feel like I need to speak, say something, anything useful. But maybe there is just nothing I can say. Maybe I can’t usefully add to this debate. Or perhaps I can’t usefully discuss it in this format.  

There is little nuance in the discussion – people are simply yelling at one another. 

I close the app to leave this angry space.  

I’m not sure I have gained any real insight into the debate from this experience. I can’t help but think that many people are here only to assert their opinion. Nobody is here to listen. Nobody is here to learn. This sort of platform encourages us to speak, to be seen speaking, but doesn’t promote discussion and debate in a way that is constructive. Let alone create a safe well-lit space for it. It doesn’t take long to find someone supposedly invalidating another’s argument by pointing out a grammatical mistake. There is no grace here.  

I’m wary of following or subscribing to users who have completely different viewpoints from my own because I am concerned about my own digital image. 

I find this online space a difficult one to occupy. My feed is mostly friends and a couple of carefully chosen pages. There’s nothing that is going to particularly challenge me there. I don’t particularly want social media to challenge me. It’s comforting, more than anything – a way of staying in touch with friends and family (particularly during the pandemic) and keeping up to date with organisations I’m involved in.  

I don’t tend to go on social media to engage in discussions or debates. I know that this leads to something of a confirmation bias. If I get all of my information from the same sources, and from the same people all the time, I’m not going to learn about other perspectives. If I follow the trade union that supports my workplace, it’s obvious that I will only receive information supporting one particular party. If the only people I follow are people who share similar views as mine, I will simply find myself with my own opinions and feelings being validated.  

It’s also worth noting that, perhaps shamefully, I’m wary of following or subscribing to users who have completely different viewpoints from my own because I am concerned about my own digital image. I worry about someone opening my page and making assumptions about my views simply based on those I follow online. I know others share this concern. Public social media accounts are sometimes a delicate exercise in personal branding. I am likely confirming someone else’s bias with my social media presence. I’m almost definitely part of that cycle.  

I find myself torn between wanting to use social media more effectively to learn from other people and wanting to make it literally a pastime. 

There are certainly arguments to be made about whether this approach to social media is good or bad. It’s certainly comforting though. At the end of a long day, a video of my friend’s dog is going to improve my day just a little bit more than trying to pick apart the truth from the lies in social media and in politics more generally. It’s important that I remain conscious that this is the way I have chosen to use social media. I can’t be complacent.  

If I engage with other perspectives and debates, I have to do so more consciously and deliberately. I try and drop in and out of those spaces through the news tabs, tags, searching specific people who I know hold different viewpoints, or looking up specific topics. It always runs the risk of falling into the trap I’ve found myself in today – scrolling through seemingly endless perspectives that I don’t agree with, people wishing harm on another for having a different perspective, a vicious “us and them” narrative that follows through every other post. I need to learn where I can find the most accurate and reliable information. More importantly, perhaps, I need to learn how to close apps when I find myself in angry spaces where debate cannot flourish (and I’m almost never going to find that in a comment section.) 

Ultimately, I don’t think I’ll stop carefully curating my social media feeds – mainly as an act of self-perseveration. It’s not that I don’t care – it is never that I don’t care. Just that the 24-hour news cycle becomes too much when there is little that I can do. I’m not going to figure out who to vote for my scrolling arguments on X or Facebook.  

I find myself torn between wanting to use social media more effectively to learn from other people and wanting to make it literally a pastime. There is certainly potential for learning - I can access real-time perspectives on almost anything. On the flipside, it is becoming increasingly difficult to discern what is real and what is fake news, or simply AI generated. On the flip side, sometimes I just want to find out if anyone else was as confused by the answer to a TV quiz show as I was or just see a picture of a friend’s cat sunbathing on a windowsill.  

How might we find this balance? Sadly, it seems that this is a conversation that’s now only worth having offline.

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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