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
Culture
Generosity
Psychology
Virtues
5 min read

AI will never codify the unruly instructions that make us human

The many exceptions to the rules are what make us human.
A desperate man wearing 18th century clothes holds candlesticks
Jean Valjean and the candlesticks, in Les Misérables.

On average, students with surnames beginning in the letters A-E get higher grades than those who come later in the alphabet. Good looking people get more favourable divorce settlements through the courts, and higher payouts for damages. Tall people are more likely to get promoted than their shorter colleagues, and judges give out harsher sentences just before lunch. It is clear that human judgement is problematically biased – sometimes with significant consequences. 

But imagine you were on the receiving end of such treatment, and wanted to appeal your overly harsh sentence, your unfair court settlement or your punitive essay grade: is Artificial Intelligence the answer? Is AI intelligent enough to review the evidence, consider the rules, ignore human vagaries, and issue an impartial, more sophisticated outcome?  

In many cases, the short answer is yes. Conveniently, AI can review 50 CVs, conduct 50 “chatbot” style interviews, and identify which candidates best fit the criteria for promotion. But is the short and convenient answer always what we want? In their recent publication, As If Human: Ethics and Artificial Intelligence, Nigel Shadbolt and Roger Hampson discuss research which shows that, if wrongly condemned to be shot by a military court but given one last appeal, most people would prefer to appeal in person to a human judge than have the facts of their case reviewed by an AI computer. Likewise, terminally ill patients indicate a preference for doctor’s opinions over computer calculations on when to withdraw life sustaining treatment, even though a computer has a higher predictive power to judge when someone’s life might be coming to an end. This preference may seem counterintuitive, but apparently the cold impartiality—and at times, the impenetrability—of machine logic might work for promotions, but fails to satisfy the desire for human dignity when it comes to matters of life and death.  

In addition, Shadbolt and Hampson make the point that AI is actually much less intelligent than many of us tend to think. An AI machine can be instructed to apply certain rules to decision making and can apply those rules even in quite complex situations, but the determination of those rules can only happen in one of two ways: either the rules must be invented or predetermined by whoever programmes the machine, or the rules must be observable to a “Large Language Model” AI when it scrapes the internet to observe common and typical aspects of human behaviour.  

The former option, deciding the rules in advance, is by no means straightforward. Humans abide by a complex web of intersecting ethical codes, often slipping seamlessly between utilitarianism (what achieves the most amount of good for the most amount of people?) virtue ethics (what makes me a good person?) and theological or deontological ideas (what does God or wider society expect me to do?) This complexity, as Shadbolt and Hampson observe, means that: 

“Contemporary intellectual discourse has not even the beginnings of an agreed universal basis for notions of good and evil, or right and wrong.”  

The solution might be option two – to ask AI to do a data scrape of human behaviour and use its superior processing power to determine if there actually is some sort of universal basis to our ethical codes, perhaps one that humanity hasn’t noticed yet. For example, you might instruct a large language model AI to find 1,000,000 instances of a particular pro-social act, such as generous giving, and from that to determine a universal set of rules for what counts as generosity. This is an experiment that has not yet been done, probably because it is unlikely to yield satisfactory results. After all, what is real generosity? Isn’t the truly generous person one who makes a generous gesture even when it is not socially appropriate to do so? The rule of real generosity is that it breaks the rules.  

Generosity is not the only human virtue which defies being codified – mercy falls at exactly the same hurdle. AI can never learn to be merciful, because showing mercy involves breaking a rule without having a different rule or sufficient cause to tell it to do so. Stealing is wrong, this is a rule we almost all learn from childhood. But in the famous opening to Les Misérables, Jean Valjean, a destitute convict, steals some silverware from Bishop Myriel who has provided him with hospitality. Valjean is soon caught by the police and faces a lifetime of imprisonment and forced labour for his crime. Yet the Bishop shows him mercy, falsely informing the police that the silverware was a gift and even adding two further candlesticks to the swag. Stealing is, objectively, still wrong, but the rule is temporarily suspended, or superseded, by the bishop’s wholly unruly act of mercy.   

Teaching his followers one day, Jesus stunned the crowd with a catalogue of unruly instructions. He said, “Give to everyone who asks of you,” and “Love your enemies” and “Do good to those who hate you.” The Gospel writers record that the crowd were amazed, astonished, even panicked! These were rules that challenged many assumptions about the “right” way to live – many of the social and religious “rules” of the day. And Jesus modelled this unruly way of life too – actively healing people on the designated day of rest, dining with social outcasts and having contact with those who had “unclean” illnesses such as leprosy. Overall, the message of Jesus was loud and clear, people matter more than rules.  

AI will never understand this, because to an AI people don’t actually exist, only rules exist. Rules can be programmed in manually or extracted from a data scrape, and one rule can be superseded by another rule, but beyond that a rule can never just be illogically or irrationally broken by a machine. Put more simply, AI can show us in a simplistic way what fairness ought to look like and can protect a judge from being punitive just because they are a bit hungry. There are many positive applications to the use of AI in overcoming humanity’s unconscious and illogical biases. But at the end of the day, only a human can look Jean Valjean in the eye and say, “Here, take these candlesticks too.”   

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