Make it a morally decisive election

This week we’re making more than a political decision.

George Pitcher

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

A AI generaed montage shows two politicans back to back surrounded by like, share and angry icons.

The divide

Nick Jones/Midjourney.ai.

I still treasure my copy of the New Statesman from almost exactly 13 years ago, which was guest edited by the then Archbishop of Canterbury Rowan Williams. I’ve kept it partly because I organised the edition and deputy edited it on his behalf. And partly because it cost me my job as public affairs chief at Lambeth Palace after it provoked predictable Conservative backbench fury for his alleged meddling in politics.

Digging it out now, there are some surprises from near that beginning of the 14 years of Conservative rule that’s expected to come to its end this week. The first is how mild mannered is the archbishop’s leader comment that cause so much trouble. In the years since, politics has become brasher and blunter, more facile and reductive.

The second surprise is the fuss it caused at the time. Williams is politely critical of politics across the board and there’s a plus ca change moment when he wonders “what the left’s big idea currently is… we are still waiting for a full and robust account of what the left would do differently”.

And he could be talking about now as he concludes by hoping for a “democracy going beyond populism and majoritarianism… capable of real argument about shared needs and hopes and real generosity; any takers?”

A magazine cover lists articles on one side and an image of half a face on the other.

That final question may get its answer this week. But at this distance, the furore that Williams caused in government takes on a different perspective. We can see, partly as a consequence of what’s happened latterly, that he wasn’t really mounting a political argument at all. His was a moral case, a prophetic voice calling out how the government, any government, “needs to hear just how much plain fear there is.”

That fear hasn’t abated 13 years after that article. It has built around a faltering economy, an island mentality inflamed by the perceived threat of migration and a sense that a political elite has abandoned its people.

Political policies alone aren’t going to salve this pain. The response to it needs to be as much a moral as political one, as caught by the headline I wrote above Williams’ piece all those years ago: “The government needs to know how afraid people are.”

The government in power for the past 14 years has chosen not to address, or has ignored, or has been incapable of addressing the morality of our societal decay, favouring instead a search for eye-catching policies and initiatives that it has hoped, admittedly with some success until now, would also be vote-catching.

That it has now run out of road has as much to do with its moral as its political failure. When Williams published that piece, we were talking about the Big Society, the prime minister was on a mission to save the planet and urged us to “hug a hoodie.” Such moral imperatives seem very distant now and a moral degeneration in government has tracked the downward slide of the governing party in the opinion polls.

So we’re not asked just to make a political decision this week. We’re making a profoundly moral one.

We haven’t had a prime minister for whom morality was a governing principle since David Cameron laid claim to one (perhaps disingenuously) in his early days, before being led by his chancellor, George Osborne, into enforced economic “austerity” with surely one of the most cynical assurances of modern times that “we’re all in this together.”

Brexit did for Cameron and his successor Theresa May. She, I believe, is guided in public life by a personal morality, rooted in her Anglo-Catholic clergyman father, but by now there was no room for all that. Her “hostile environment” for illegal immigrants, with vans telling them to go home, was a moral low point which then found its hideous nadir in the Windrush scandal, with elderly people who had lived here all their lives threatened with deportation.

Boris Johnson thought that he could make a political virtue of his immorality, a demonic possession that made him believe that he’d be loved for it. So he fiddled while Covid burned, partying in Number 10 while those who had voted for him were denied access by his rules to their dying relatives.

I wrote in the Guardian that he wouldn’t be able to hide his immorality in Number 10 when he became leader and was sadly proved more right than I could have known. Liz Truss is said to be on an autistic spectrum, which is the kindest way to explain her mini-budget that offered tax-breaks for the wealthiest in the midst of a cost-of-living crisis for the rest of us.

Rishi Sunak is widely said to be a decent man, but it's too late. This government had already rotted from the head – witness the spivs in its ranks hoping to make a fast buck out of the date of the general election.

So we’re not asked just to make a political decision this week. We’re making a profoundly moral one. It’s time to turn the fear that the archbishop observed into moral indignation.

It’s not really about who we want in government. It’s what we need, morally, to expel from it.

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21 June 2024

4 min read

It's our mistakes that make us human

What we learn distinguishes us from tech.

Silvianne Aspray

Silvianne Aspray is a theologian and postdoctoral fellow at the University of Cambridge.

A man staring at a laptop grimmaces and holds his hands to his head.

Francisco De Legarreta C. on Unsplash.

The distinction between technology and human beings has become blurry: AI seems to be able to listen, answer our questions, even respond to our feelings. It becomes increasingly easy to confuse machines with humans. In this situation, it is increasingly important to ask: What makes us human, in distinction from machines? There are many answers to this question, but for now I would like to focus on just one aspect of what I think is distinctively human: As human beings, we live and learn in time.

To be human means to be intrinsically temporal. We live in time and are oriented towards a future good. We are learning animals, and our learning is bound up with the taking of time. When we learn to know or to do something, we necessarily make mistakes, and we take practice. But keeping in view something we desire – a future good – we keep going.

Let’s take the example of language. We acquire language in community over time. Toddlers make all sorts of hilarious mistakes when they first try to talk, and it takes them a long time even to get single words right, let alone to try and form sentences. But they keep trying, and they eventually learn. The same goes with love: Knowing how to love our family or our neighbours near and far is not something we are good at instantly. It is not the sort of learning where you absorb a piece of information and then you ‘get’ it. No, we learn it over time, we imitate others, we practice and even when we have learned, in the abstract, what it is to be loving, we keep getting it wrong.

This, too, is part of what it means to be human: to make mistakes. Not the sort of mistakes machines make, when they classify some information wrongly, for instance, but the very human mistake of falling short of your own ideal. Of striving towards something you desire – happiness, in the broadest of terms – and yet falling short, in your actions, of that very goal. But there’s another very human thing right here: Human beings can also change. They – we – can have a change of heart, be transformed, and at some point in time, actually start to do the right thing – even against all the odds. Statistics of past behaviours, do not always correctly predict future outcomes. Part of being human means that we can be transformed.

Transformation sometimes comes suddenly, when an overwhelming, awe-inspiring experience changes somebody’s life as by a bolt of lightning. Much more commonly, though, such transformation takes time. Through taking up small practices, we can form new habits, gradually acquire virtue, and do the right thing more often than not. This is so human: We are anything but perfect. As Christians would say: We have a tendency to entangle ourselves in the mess of sin and guilt. But we also bear the image of the Holy One who made us, and by the grace and favour of that One, we are not forever stuck in the mess. We are redeemed: are given the strength to keep trying, despite the mistakes we make, and given the grace to acquire virtue and become better people over time. All of this to say that being human means to live in time, and to learn in time.

So, this is a real difference between human beings and machines: Human beings can, and do strive toward a future good.

Now compare this to the most complex of machines. We say that AI is able to “learn”. But what does it mean to learn, for AI? Machine learning is usually categorized into supervised learning, unsupervised and self-supervised learning. Supervised learning means that a model is trained for a specific task based on correctly labelled data. For instance, if a model is to predict whether a mammogram image contains a cancerous tumour, it is given many example images which are correctly classed as ‘contains cancer’ or ‘does not contain cancer’. That way, it is “taught” to recognise cancer in unlabelled mammograms. Unsupervised learning is different. Here, the system looks for patterns in the dataset it is given. It clusters and groups data without relying on predefined labels. Self-supervised learning uses both methods: Here, the system uses parts of the data itself as a kind of label – such as, for instance, predicting the upper half of an image from its lower half, or the next word in a given text. This is the predominant paradigm for how contemporary large-scale AI models “learn”.

In each case, AI’s learning is necessarily based on data sets. Learning happens with reference to pre-given data, and in that sense with reference to the past. It may look like such models can consider the future, and have future goals, but only insofar as they have picked up patterns in past data, which they use to predict future patterns – as if the future was nothing but a repetition of the past.

So this is a real difference between human beings and machines: Human beings can, and do strive toward a future good. Machines, by contrast, are always oriented towards the past of the data that was fed to them. Human beings are intrinsically temporal beings, whereas machines are defined by temporality only in a very limited sense: it takes time to upload data, and for the data to be processed, for instance. Time, for machines, is nothing but an extension of the past, whereas for human beings, it is an invitation to and the possibility for being transformed for the sake of a future good. We, human beings, are intrinsically temporal, living in time towards a future good – which machines do not.

In the face of new technologies we need a sharpened sense for the strange and awe-inspiring species that is the human race, and cultivate a new sense of wonder about humanity itself.