Column
Culture
4 min read

Depreciating human life: a year-end market report

The cold currency of trading hostages repels George Pitcher, who explores the casual acceptance that some lives are biddable against lives of intrinsically higher value.

George is a visiting fellow at the London School of Economics and an Anglican priest.

Three men huddle around a laptop and talk animatedly.
Israel's Prime Minister monitors the recent hostage exhchange.
Prime Minister's Office, Israeli Government.

There is something peculiarly horrific about the barter of Israeli hostages held in Gaza by Hamas for Palestinian prisoners in Israel. And it isn’t only the unimaginable suffering these innocent civilians have to endure somewhere on an unknown scale between life and death. 

It’s also that their lives are reduced to their commodity value. Hostages are assets to be traded in the market for peace, not human beings. It’s difficult to write this, but it’s almost as if three dead hostages, including a 10-month-old baby, said to have been killed in an Israeli airstrike, have lost their asset value. These ones are no good – they don’t work anymore.  

Negotiating the release of hostages for peace terms is as old as the Hebron Hills. An Egyptian pharaoh once released his enslaved Israelites to Moses in return for the lifting of the plagues being inflicted on his people. But there is something of the neo-liberal free market in the way that post-modern conflict resolution uses human life as a currency of exchange. 

Ryan Gilfeather wrote excellently here how this material valuation offends against the human dignity in which the divine invests. The imago dei that humanity bears, if you like, is not to be reduced to a bounty, a financial liability or an asset value. 

As a consequence, human life is tradeable. Yes, it has value, but its share price can fall as well as rise.

I’d want to take that a step further, to ask how that depreciation has come about with such ready acceptance and to note a couple of instances where the mentality of the trade in human existence has become a natural process of marketing.  

The attitude, I think, has its roots in the Enlightenment of the 17th and 18th centuries. Don’t get me wrong: This is no censure of progressivism. Universal literacy, healthcare, scientific endeavour and the birth and growth of democracy are all very good ideas indeed. But the Enlightenment also brought the capitalist mindset to almost every area of human existence. Our lives, in many contexts, became actuarial.   

This is not my idea. The great, perhaps the greatest, Christian mind of the 20th century, C.S. Lewis, railed against how Fascism and genocide were the bastard offspring of our common-law marriage to progressive thinking, in that traditional values of human existence were now only there to be debunked.  

I am indebted to Lewis’s biographer, A.N. Wilson, for this. In Lewis’s book, The Abolition of Man, he writes of “The belief that we can invent ‘ideologies’ at pleasure, and the consequent treatment of mankind as mere specimens… begins to affect our very language.’ 

Lewis was no white-knuckled reactionary, but he did recognise that the values and virtues of ancient religious thought were binned at humanity’s peril. We had begun to understand the price of human life, rather the the value of it. 

This is not to suggest for a moment that the ancient world was a nirvana (or even a Narnia). The Garden of Eden was lost at the beginning of time, not at the Enlightenment. Brutality, slavery and cruelty are part of our post-lapsarian world. 

It’s just that religious virtue used to be a bulwark against such things. As a consequence, human life is tradeable. Yes, it has value, but its share price can fall as well as rise. By the 21st century, we can look behind us to see how that has played out. Allow me to elucidate a couple of examples of how casual is our acceptance that some lives are biddable against lives of intrinsically higher value.  

The first is the almost clownishly implemented government policy proposal to redeploy migrants to the UK to Rwanda. Almost clownishly, because it would be funny if it didn’t involve a trade in human misery, the idea that desperate people endangering their lives and those of their families in small boats can be made someone else’s problem to sort out, simply by looking away. These people are worthless, you see, because they are not us and only we belong here (whoever “we” may be). The idea is that we pay Rwanda per capita to take them, rather as we might send our plastic refuse to China for landfill. 

A second example of merchandising human life I would cite are the repeated attempts to have assisted suicide, or voluntary euthanasia, legalised in the UK, rather than enhancing palliative end-of-life care. These proposals depend entirely on the state legislature endorsing that some human lives aren’t worth living and are disposable.  

At base, it’s the same principle as the Rwanda policy, other than we’d be killing them, or assisting them to kill themselves, rather than disposing of them in a central African waste-bin. 

These are the “anythings” that humans believe in when they stop recognising the sanctity of human life. The value equation used for Gazan hostages is on the same continuum as the human trafficker and the politician who tries to stop him, or the calculation of the cost to the state and their family of a terminally ill patient offered an alternative way out. 

It’s just that these equations have become invisible to the naked eye. We don’t see them anymore. But, I’d suggest, for Christ’s sake we’d better start looking. 

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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