Article
AI
Culture
Music
4 min read

As creativity and AI battle, greed is the true enemy

Every string plucked, stitch sewn, brushstroke painted, is a sign we’re made for more than utility.
A black and white list of music tracks reads: IS THIS WHAT WE WANT. THE BRITISH GOVERNMENT MUST NOT LEGALISE MUSIC THEFT.
1,000 artists, one message.

 

Is the battle between AI and creativity over before it began? A collective of 1,000 musicians have released a silent album to protest new government copyright laws that would make it easier for companies to train AI models without paying artists. The album, titled “Is This What We Want?,” has a tracklist that reads “The British Government Must Not Legalise Music Theft To Benefit AI Companies.” 

But this isn’t the first time that new technology has threatened the livelihood of musicians, nor the first time musicians have fought back. And the lesson to be learned from the past is that the real enemy of creativity isn’t technology- it’s greed. 

Musicians on strike 

The invention of the record player forever changed the music industry. It’s difficult to imagine a time when you could only hear music if someone was playing a live instrument. As music records grew rapidly in popularity, payments to the musicians behind the records lagged behind.

Up until the 1940s, record companies paid studio musicians only for the time in the studio. Playing records on live radio was cheaper than hiring big bands (which had previously been the norm) because the musicians wouldn’t see any revenue from their repeated use. But in August 1942, fed up at the lack of royalties paid from music records, the American Federation of Musicians went on strike. 

The silence lasted nearly 2 years. During the strike, musicians were allowed to play for live radio but banned from playing on records.

At first, record companies relied on releasing music they had already recorded. But when it became clear that the strike would last longer than expected, they began to rely on acapella voices in place of big bands for new releases. The strike concluded in 1944 as record players conceded to the American Federation of Musicians and set up a system of paying royalties to musicians. The battle was over. 

The technology creativity face-off

Technology has often seemed to be at odds with human creativity despite emerging from it. Human creativity invented the record player, but the record player threatened the human creativity of all those musicians playing live.  

In a similar way, artificial intelligence was both invented by creative humans and trained on the work of other creative humans. And yet, its very existence seems to threaten the work of thousands. AI’s threat is felt in every corner of the creative industries- in music, illustration, art, film and photography. And it’s not just a worry for Top 40 singers. Generative AI threatens to replace graphic and web design for small businesses, music in the background of commercials and videos, illustrations on mass produced birthday cards and souvenirs- all areas of creative work where artists receive a modest income and don’t become household names.

Companies use technology as a mirage to hide the real threat behind its computer generated glow- the greed of the human heart.

 

he Christian faith offers a few truths that make sense of this tension between AI and creativity. The first is human creativity is not mere ornamentation- it is at the very heart of what it means to be made in God’s image. At the very beginning of the Bible, God is Creator. Unlike God, humans cannot make something from nothing. But we can produce wonders that inspire, that reflect the goodness, truth and beauty of the world God created for us. Every string plucked, stitch sewn, brushstroke painted, is a sign that humans were made for more than utility. We were made for transcendence.  

The Christian faith also teaches that human selfishness gets in the way of the transcendental vision God has for us. 

The invention of the record player created problems for musicians, but it was the unwillingness of companies to pay musicians fairly for their work that posed the real threat. Companies use technology as a mirage to hide the real threat behind its computer generated glow- the greed of the human heart. 

As AI continues to be adopted, executives join the chorus speaking about the “threat of AI” and the need to prioritise human creativity. Yet the decisions of the same executives value human creativity in financial terms by the compensation (or lack thereof) that real artists receive. 

Companies treat new technologies as inevitable– they might even tell employees that those who can’t learn to use new technology will be left behind. But the reality is that companies shape the direction of technological advancement. There is no “neutral” or “inevitable” direction to technology. Technology can solve human problems- but first humans decide what problems need solving. AI may help us solve problems that benefit all of us- like the work being done to synthesise proteins that can have great impacts in medicine and science.

But there is no reason companies must use generative AI for creative work. People may point to money and time saved, shareholder value created. And this is where the real contradiction lies. For creativity is not a problem that needs to be solved, but a gift for us to partake in. 

Is This What We Want? 

The album by “1000 UK Artists” contains the sound of empty music studios- a future the group fears if musicians are replaced with AI who were trained on their talent. Session musicians, cover artists, violinists who busk in the streets or play in weddings, all are in danger from AI being trained on their hard work for free. 

Knowing that technology is never neutral, the album’s title “Is This What We Want?” poses a good question. What kind of world do we want to live in? What should our technology be building towards? 

For me, I want a world that encourages real human creativity– the kind given to us by God, the original creative. I want a world where technology isn’t a way for the rich to become richer but for our communities to become better places for human connection. Technology should give us more time to create art, not less. The battle between creativity and AI is in the hands of lawmakers for now. But the battle to end human greed? That’s eternal. 

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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