Article
Culture
Economics
Ethics
Sustainability
9 min read

Acquisitiveness is the key modern vice

When it comes to consumption, we keep our ethics on a lead.

Joel Pierce is the administrator of Christ's College, University of Aberdeen. He has recently published his first book.

a hand hold a black payment card that reads 'buy'.
Kelly Sikkema on Unsplash.

“Sell-out!” When I arrived in Seattle around the turn of the century, I was too tardy and too scrupulously Christian to make much of what was left of the fading grunge scene. Still, I had arrived in time to fumble my way through various university dorm room arguments with more musically astute peers about when this or that band had sold out, when they abandoned the authentic homemade purity of their sound for the greater financial rewards of mainstream pop. These bands still traded on their image as rebels and outsiders, but we all knew it was a pose. Even so, we sympathised. Who wouldn’t be tempted by selling-out if the alternative was poverty and virtuous obscurity? 

I have been thinking about those conversations recently, not just because Nirvana T-shirts suddenly seem to be everywhere again, but because the other form of ambient idealism circulating in Seattle at that time, techno-utopianism, seems to have reached the end of its own version of selling out. In my decade in Seattle, I learned to scoff at those who didn’t embrace new technologies, dutifully parroting the slogan, “Information wants to be free!” The hackers of my generation had founded companies which were going to remake the corporate world. Many of my friends from university went to work for them. They were excited about building exciting new tools at lower costs, while doing it all with a social conscience. The bosses of these companies were rock stars in T-shirts and jeans, changing the world.  

Two decades later, few of us are happy with the world they’ve built. The professions threatened by their innovations started with music and journalism and have now moved on to just about anything that an AI can imitate. Many of those bosses are still in T-shirts and jeans, still pretending to be outsiders, even as their wealth has piled into unimaginable sums. Their continual need for more has led many of them to decide that a social conscience is too expensive a liability to retain. They prioritise profits and share prices above employee well-being and social cohesion. Some demur from taking stands against authoritarian politicians, pretending that such neutrality is a matter of principle and not economic self-interest. Others openly egg on our broken politics, eager to snatch still more spoils from their demise.  

What has gone wrong? As an ethicist, my temptation always is to say that if only these bosses were better advised, reminded of the responsibilities of their power, things could change. What is a skilled ethicist if not someone whose rhetoric and erudition can move the hearts of the mighty? 

There is one immovable object that all his ethical demolition work could not shift. His king had palaces to build, heretic German princes to bring to heel, and an ancestral homeland to recapture.

At the advent of European colonialism, there was perhaps no more skilled or erudite moral theologian than Francisco de Vitoria.  After taking the premiere professorship at the best university in Spain, what was becoming the richest state in Europe, he pioneered legal and ethical theories which reverberate in international and human rights law today. There were few more incisive critics of the self-deceptive rationalisations of his contemporaries and few better placed to have the ear of one of the most powerful rulers of the age, the king of Spain and Holy Roman Emperor, Charles V. 

Today Vitoria is often pointed to as a prophet, someone who drew on his theological expertise and rhetorical acumen to tear apart Spanish justifications for their growing overseas empire. This reputation largely rests on his On the American Indians, a speech he gave in response to the horrific reports of “bloody massacres and of innocent individuals pillaged of their possessions and dominions” which were filtering back to Spain. In it Vitoria does indeed dismantle dozens of quasi-legal entitlements to which the Spanish appealed to justify these actions. By the time he reaches the end of the speech he even seems to be contemplating Spain abandoning the Americas. He says, “The conclusion of this whole dispute appears to be this: that if all these titles were inapplicable…the whole Indian expedition and trade would cease”.  

However, when he turns to acknowledging the financial implications of this, he allows that it “would mean a huge loss to the royal exchequer, which would be intolerable.” Here Vitoria concedes that there is one immovable object that all his ethical demolition work could not shift. His king had palaces to build, heretic German princes to bring to heel, and an ancestral homeland to recapture from the French. Money was needed for Charles to play his role as a king among kings, and no ethical quibbles about evil deeds carried out far away could be allowed to impede its flow. After this admission Vitoria sputters to a conclusion with a few unworkable and naive suggestions about how to at least make colonialism marginally less terrible.   

If there is a historical parable calculated to drive an ethicist to despair this is it. It shows ethical reflection for what it all too often is, an ineffectual expression of moral anxieties we air and then largely ignore. Our institutions, whether nation-states or companies, make a show of acting ethically, but few of us are fooled. It is a pose. The sorts of ‘ethics’ practised by countries and corporations are strictly those which aren’t a serious threat to the appetites of their leaders for more wealth, power, and security. Like Charles V, they too have peers among whom it is intolerable to contemplate losing status.  

These priorities are reflected even among those of us with less stratospheric power or wealth. Many of us worry about the origins of our food, our clothes, and our cheap electronics, having heard stories of labourers spending long hours in fields or cramped sweatshops. We may even buy Fairtrade as a response, but only if the price isn’t too high and if this ‘ethical consumption’ doesn’t mean giving up our middle-class lifestyle. 

The ‘ethics’ of our consumption are kept on a convenient lead. They are allowed to nibble around the edges of our consciences, but never to tear into the heart of the way we inhabit the world. 

In his work, Whose Justice? Which Rationality?, Alasdair MacIntyre argues that the sorts of goods we pursue can be lumped into two broad categories, goods of effectiveness and goods of excellence. The former are the things like wealth, power, and fame, which can be conferred and even sometimes transferred and which bear little relation to the characters of the people involved. The latter are the sorts of skills and performances, the virtues and virtuosities, which  people attain through long and disciplined development.  

For MacIntyre, both kinds of goods are necessary, but it matters a great deal which one gets priority. In a society which prioritises goods of effectiveness – such as Vitoria’s, but also, for MacIntyre, most modern societies as well –procedural justice reigns supreme. As long as we didn’t break any rules in getting our money and status or, for that matter, our exciting new clothes or smart speakers, we are in the clear. The problem, as Vitoria’s case demonstrates, is that in such societies even this minimal kind of justice cannot be allowed to block the flow of wealth. So procedural justice winds up being a tamed tiger in the service of the powerful. It is let out of its cage only when convenient – typically to demonise the failings of others. This is not just true of billionaires and politicians. Those of us who are western, middle-class consumers play this game too. The ‘ethics’ of our consumption are kept on a convenient lead. They are allowed to nibble around the edges of our consciences, but never to tear into the heart of the way we inhabit the world. 

What would it mean to prioritise goods of excellence? This is one of those questions MacIntyre poses, but does not answer, because he is convinced that in each society it would look different. Each community would need to begin by wrestling with what kinds of people they should be, what excellences they can and should pursue within their communities, and what virtues should be emphasised. Only then should they move on to think about what sorts of wealth or power are necessary to achieve these. Still, it can be frustrating that MacIntyre does not lay out his preferred programme. He offers no ready-made blueprint for a just society.  

Of course, neither did Jesus when he counseled his disciples to seek first the kingdom of God, telling them that if they did so the necessities of life, food, drink, and clothes, would be provided. What Jesus meant by the kingdom of God is elusive, now and not yet, hidden and revealed in parable and aphorism. What it was not, however, is clear. It was not a kingdom founded on acquiring earthly power and wealth. In fact, much of the teaching of the gospels can be boiled down to Jesus’ warning about the dangers of prioritising the goods of effectiveness (“Where your treasure is there your heart will be also”, “One thing you lack. Go sell everything you have and give to the poor”, “The rulers of the Gentiles lord it over them. Not so with you”, “Man does not live on bread alone”, “What does it profit a man to gain the whole world and lose his soul?”) and urging his disciples to embrace the goods of excellence that constitute the kingdom of God.  

Understood this way, the reason it is easier for a camel to go through the eye of a needle than for a rich man to enter the kingdom is that the hunger for riches, wealth, and fame pulls those enamoured with goods of effectiveness away from true fulfillment. There are always more houses to own, new neighbours to impress, and new areas to conquer. Acquisitiveness, MacIntyre reminds his readers, is the characteristic vice of modernity. That many of us, from billionaires down to underpaid academics, habitually think that what is missing from our life is a little more money or fame, is evidence that he’s right. 

For Jesus, virtuous obscurity and poverty were preferable to fame. We remember this at every nativity play when we acknowledge that the best God could manage for witnesses to the divine arrival was a hard scrabble group of animal herders and a few foreign astrologers. It is not that Jesus refused to use his abilities or hid away from public notice. However, the public he chose to act among was nestled in a corner of a corner of the empire, far from the rewards offered by the cultured salons of Roman power and privilege. In two of the gospels, Jesus is tempted to sell out. He is offered unimaginable fame and power at the outset of his ministry. He forcefully rejects it. For Jesus, an itinerant life spent ministering to fishermen and farmers was enough.  

What would it look like for us to embrace Jesus’s priorities? A place to start would be actually listening to Jesus about practices such as fasting, praying, and the almsgiving. Each of these is an act of resistance against the continual appetite for more and a testimony to an economy of grace that exists beyond all human economies. We also could try preaching in a way that takes seriously the admonitions of Jesus. I have heard numerous sermons about the rich young ruler which include an extended caveat on how maybe it was important for him to sell his possessions, but that doesn’t mean we have to. Maybe not, but shouldn’t those of us who call ourselves Christians, at least be open to God having that radical a call on our life? If our ethics and our faith are not allowed to ask these questions of us, if we have sold out in such a way that the real possibility of them radically disrupting our lives is intolerable to our imagination, what good are they? 

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Article
AI - Artificial Intelligence
Culture
10 min read

We’ll learn to live with AI: here’s how

AI might just help us with life’s dilemmas, if we are responsible.

Andrew is Emeritus Professor of Nanomaterials at the University of Oxford. 

Two construction workers stand and talk with a humanoid AI colleague.
Nick Jones/Midjourney.ai

Anxiety about algorithms is nothing new.  Back in 2020, It was a bad summer for the public image of algorithms. ‘I am afraid your grades were almost derailed by a mutant algorithm’, the then Prime Minister told pupils at a school. No topic in higher education is more sensitive than who gets a place at which university, and the thought that unfair decisions might be based on an errant algorithm caused understandable consternation. That algorithms have been used for many decades with widespread acceptance for coping with examination issues ranging from individual ill health to study of the wrong set text by a whole school seems quietly to have slipped under the radar.  

Algorithmic decision-making is not new. Go back thousands of years to Hebrew Deuteronomic law: if a man had sex with a woman who was engaged to be married to another man, then this was unconditionally a capital offence for the man. But for the woman it depended on the circumstances. If it occurred in a city, then she would be regarded as culpable, on the grounds that she should have screamed for help. But if it occurred in the open country, then she was presumed innocent, since however loudly she might have cried out there would have been no one to hear her. This is a kind of algorithmic justice: IF in city THEN woman guilty ELSE woman not guilty.  

Artificial intelligence is undergoing a transition from classification to decision-making. Broad artificial intelligence, or artificial general intelligence (AGI), in which the machines set their own goals, is the subject of gripping movies and philosophical analysis. Experts disagree about whether or when AGI will be achieved. Narrow artificial intelligence (AI) is with us now, in the form of machine learning. Where previously computers were programmed to perform a task, now they are programmed to learn to perform a task.  

We use machine learning in my laboratory in Oxford. We undertake research on solid state devices for quantum technologies such as quantum computing. We cool a device to 1/50 of a degree above absolute zero, which is colder than anywhere in the universe that we know of outside a laboratory, and put one electron into each region, which may be only 1/1000 the diameter of a hair on your head. We then have to tune up the very delicate quantum states. Even for an experienced researcher this can take several hours. Our ‘machine’ has learned how to tune our quantum devices in less than 10 minutes.  

Students in the laboratory are now very reluctant to tune devices by hand. It is as if all your life you have been washing your shirts in the bathtub with a bar of soap. It may be tedious, but it is the only way to get your shirts clean, and you do it as cheerfully as you can … until one day you acquire a washing machine, so that all you have to do is put in the shirts and some detergent, shut the door and press the switch. You come back two hours later, and your shirts are clean. You never want to go back to washing them in the bathtub with a bar of soap. And no one wants to go back to doing experiments without the machine. In my laboratory the machine decides what the next measurement will be.  

Suppose that a machine came to know my preferences better than I can articulate them myself. The best professionals can already do this in their areas of expertise, and good friends sometimes seem to know us better than we know ourselves. 

Many tasks previously reserved for humans are now done by machine learning. Passport control at international airports uses machine learning for passport recognition. An experienced immigration officer who examines one passport per minute might have seen four million faces by the end of their career. The machines were trained on fifty million faces before they were put into service. No wonder they do well.  

Extraordinary benefits are being seen in health care. There is now a growing number of diagnostic studies in which the machines outperform humans, for example, in screening ultrasound scans or radiographs. Which would you rather be diagnosed by? An established human radiologist, or a machine with demonstrated superior performance? To put it another way, would you want to be diagnosed by a machine that knew less than your doctor? Answer: ‘No!’ Well then, would you want to be diagnosed by a doctor who knew less than the machine? That’s more difficult. Perhaps the question needs to be changed. Would you prefer to be treated by a doctor without machine learning or by a doctor making wise use of machine learning?  

If we want humans to be involved in decisions involving our health, how much more in decisions involving our liberty. But are humans completely reliable and consistent? A peer-reviewed study suggested that the probability of a favourable parole decision depended on whether the judges had had their lunch. The very fact that appeals are sometimes successful provides empirical evidence that law, like any other human endeavour, involves uncertainty and fallibility. When it became apparent that in the UK there was inconsistency in sentencing for similar offences, in what the press called a postcode lottery, the Sentencing Council for England and Wales was established to promote greater transparency and consistency in sentencing. The code sets out factors which judges must consider in passing sentence, and ranges of tariffs for different kinds of crimes. If you like, it is another step in algorithmic sentencing. Would you want a machine that is less consistent than a judge to pass sentence? See the sequence of questions above about a doctor.  

We may consider that judicial sentencing has a special case for human involvement because it involves restricting an individual’s freedom. What about democracy? How should citizens decide how to vote when given the opportunity?  Voter A may prioritise public services, and she may seek to identify the party (if the choices are between well identified parties) which will best promote education, health, law and order, and other services which she values. She may also have a concern for the poor and favour redistributive taxation. Voter B may have different priorities and seek simply to vote for the party which in his judgement will leave him best off. Other factors may come into play, such as the perceived trustworthiness of an individual candidate, or their ability to evoke empathy from fellow citizens.  

This kind of dilemma is something machines can help with, because they are good at multi-objective optimisation. A semiconductor industry might want chips that are as small as possible, and as fast as possible, and consume as little power as possible, and are as reliable as possible, and as cheap to manufacture as possible, but these requirements are in tension with one another. Techniques are becoming available to enable machines to make optimal decisions in such situations, and they may be better at them than humans. Suppose that a machine came to know my preferences better than I can articulate them myself. The best professionals can already do this in their areas of expertise, and good friends sometimes seem to know us better than we know ourselves. Suppose also that the machine was better than me at analysing which candidate if elected would be more likely to deliver the optimal combination of my preferences. Might there be something to be said for benefitting from that guidance?  

If we get it right, the technologies of the machine learning age will provide new opportunities for Homo fidelis to promote human flourishing at its best.

By this point you may be sucking air through your intellectual teeth. You may be increasingly alarmed about machines taking decisions that should be reserved for humans. What are the sources of such unease? One may be that, at least in deep neural networks, the decisions that machines make may be only as good as the data on which they have been trained. If a machine has learned from data in which black people have an above average rate of recidivism, then black people may be disadvantaged in parole decisions taken by the machine. But this is not an area in which humans are perfect; that is why we have hidden bias training. In the era of Black Lives Matter we scarcely need reminding that humans are not immune to prejudice.  

Another source of unease may be the use to which machine learning is put for commercial and political ends. If you think that machine learning is not already being applied to you, you are probably mistaken. Almost every time you do an online search or use social media, the big data companies are harvesting your data exhaust for their own ends. Even if your phone calls and emails are secure, they still generate metadata. European legislation is better than most, and the Online Safety Act 2023 will make the use of Internet services safer for individuals in the United Kingdom. But there is a limit to what regulation can protect, and 2024 is likely to see machine learning powerfully deployed to sway voters in elections in half the world. Targeted persuasion predates AI, as Othello’s Iago knew, but machine learning has brought it to an unprecedented level of industrialisation, with some of the best minds in the world paid some of the highest salaries in the world to maximise the user’s screen time and the personalisation of commercial and political influence.  

Need it be so? In some ways advances in machine learning are acting as the canary in the mine, alerting us to fundamental questions about what humans are for, and what it means to be human. The old model of Homo economicus—rational, selfish, greedy, lazy man—has passed its sell-by date. It is being replaced by what I like to call Homo fidelis—ethical, caring, generous, energetic woman and man. For as long as AGI remains science fiction, it is up to humans to determine what values the machines are to implement. If we get it right, the technologies of the machine learning age will provide new opportunities for Homo fidelis to promote human flourishing at its best.  

Whatever the future capabilities of machines, they cannot be morally load-bearing because humans are self-aware and mortal, whereas machines are not.

Paul Collier and John Kay

Christians have been thinking about what it means to be human for two millennia, building on what came before, and so they ought to have something to contribute to how humans flourish. In It Keeps Me Seeking, my co-authors and I ask our readers to imagine that they were writing about three thousand years ago for people who knew nothing of modern genetics or psychological science about what it means to be human. ‘You are writing for a storytelling culture, and so you would probably put it in the form of a story. Let’s say you set it in a garden. The garden is pleasant, but it is also designed for character formation, and so there is work to do, and also the possibility for a hard moral choice. You want to convey that humans need social interactions (for the same reason that solitary confinement is a severe punishment), and so you try the literary thought experiment of having one solitary man and letting him encounter animals and name them. Animals can be useful and they can be good company. But ultimately no animals, not even a dog, are fully satisfactory as partners in work and companions in life. Humans need humans. An enriching component of human relationships is sex. So, the supreme gift to the solitary man in our story is companionship with an equal who is both like and unlike; a woman. It is hardly a complete account, but it is a good start. Oh, and there is one other aspect. They should be free of the shame which lies at the root of so much psychological disorder.’  

As far as it goes, would you regard such an account as complete? If not, what would you add next? You can see where this is going. To be human you need to be responsible. So, you let the humans face the moral choice. You can even include an element of disinformation to make the choice harder. And then when it goes horribly wrong you let them discover that they are responsible for their actions, and that blaming one another does not help. If you have God in your story, then (uniquely for the humans) responsibility consists of accountability to God. This is how human distinctiveness was addressed in early Jewish thought. As an early articulation that to be human means to be responsible, the story of Adam and Eve is unsurpassed.  

In Greed is Dead, Paul Collier and John Kay reference Citizenship in a Networked Age as brilliantly elucidating the issue of morally pertinent decision-taking. They write, ‘Whatever the future capabilities of machines, they cannot be morally load-bearing because humans are self-aware and mortal, whereas machines are not. Machines can be used not only to complement and enhance human decision-making, but for bad: search optimisation has already morphed into influence-optimisation. We must keep morally pertinent decision-taking firmly in the domain of humanity.’  

The nature of humanity includes responsibility—for wise use of machine learning and much more besides. Accountability is part of life for people with widely differing philosophical, ethical, and religious world views. If we are willing to concede that accountability follows responsibility, then we should next ask, ‘Accountable to whom?’