The trouble with identity politics

Identity politics reflected two great longings, a desire for uniqueness, and a need to belong. It’s time to ditch it.

Graham Tomlin

Graham is the Director of the Centre for Cultural Witness and a former Bishop of Kensington.

A head and shoulders portrait consisting of large disc-like pixels that obscure the real person..

Photo by Vadim Bogulov on Unsplash.

I’ve been watching the remarkable documentary series Once Upon a Time in Northern Ireland, and there is one story in it I can’t get out of my mind. Richard Moore was a ten-year old boy in Londonderry in the early seventies. Charles Inness was a 30-year old British soldier in the Royal Artillery stationed in the city at the time. During a local disturbance in 1972, Inness fired a rubber bullet to disperse a crowd of youths throwing stones at a RUC base at exactly the moment the ten-year old Richard crossed his line of fire. The bullet hit the young boy in the eye, blinding him for life.

Many years later, Moore expressed a desire to meet the man who fired the gun. And so, in 2006 they met. The British soldier, cautious, a little stiff and very proper, was initially defensive, refusing to apologise as he still felt he had acted rightly at the time and in the circumstances. Moore persisted, not out of a desire for vengeance or recrimination, but simply wanting to understand. Gradually the two became friends and Inness eventually found a way to say he was genuinely sorry.

The history of the troubles in Northern Ireland is full of stories of people being murdered simply because of one part of their identity - that they were Protestant or Catholic, UDA or IRA, British soldier or Irish Republican. What struck me listening to this story was Moore’s tenacity, to get beyond the simplistic identity of Inness as ‘the soldier who took away my sight’.

Summing up what he had learnt, Moore said: ‘Finding out who he was changes everything. To me, he’s no longer a soldier, he’s a human being. A father, a grandfather – it makes a person very real. And that’s a good thing.’ There seemed to me a gem of wisdom here that can get us past much of the polarisation of modern life.

“There are two striking human passions, the passion for uniqueness and the passion for union.”

Tom Morris.

‘Identity politics’ was a term borrowed from social psychology in the 1970s and quickly gained traction. It was an attempt to enable marginalised people to find solace and support with one another, by focussing on the common characteristics of one aspect of a person’s identity. It tried to help bring particularly disadvantaged groups together by describing the common experiences they had faced.

Since then it has gained a great deal of traction and generated much controversy. So why did it hit such a nerve?

The philosopher Tom Morris once wrote:

“There are two striking human passions, the passion for uniqueness and the passion for union. Each of us wants to be recognised as a unique member of the human race. We want to stand apart from the crowd in some way. We want our own dignity and value. But at the same time, we have a passion for union, for belonging, even for merging our identities into a greater unity in which we can have a place, a role, a value.”

Identity politics was a reflection of these two great human longings - our desire for uniqueness, and our need to belong. On the one hand we all want to be special, unique, different from everyone else. On the other hand, we want a tribe to belong to, whether defined by gender, race, sexuality, nationality or the like. And so, we choose an identity that defines us, marks us off to the world, and gives us a group to belong to.

Identity politics began with good intentions. Yet the way it is often used means that it encourages me to think that once I have labelled someone with a particular characteristic, that is all I need to know about them. If I know they are black or white, privileged or deprived, young or old, gay or straight, conservative or progressive, and so on, then I know all I need to know. I can then embrace them as one of my tribe, or dismiss them as different, without any further discernment.

One of the writers of the Psalms, reflecting on his own self-awareness, wrote “I am fearfully and wonderfully made.” The reality is that we are all immensely complex beings with multiple facets, different qualities and a number of overlapping identities. My neighbour may be Asian. And knowing that, I might think ‘I know what Asian people are like – and he must be like all the others.’ Yet he might also be a father, a husband, an Arsenal fan, of Bangladeshi heritage, a doctor, middle-aged, a Labour voter, suffering from occasional depression, a 2 handicap golfer. And so on. These are all part of who he is and if I want to get to know him fully, I need to understand something about all of these elements of his identity. If I fix on any one of these as the final truth about him, and ignore all the rest, I do him a disservice. To reduce the complexity and wonder of a fellow human being to one single characteristic is surely a mistake. It is to fail to do them justice, and display an unwillingness to take the time to understand them. It is, in the final analysis, a failure to love.

The final truth about each one of us can only be what is true of all of us - that we are ‘fearfully and wonderfully made’. In that same Psalm, the writer relates his sense that the God he worships, in a way that is both comforting yet unnerving, knows everything about him:

“you know when I sit and when I rise; you perceive my thoughts from afar, you discern my going out and my lying down; you are familiar with all my ways.”

We are each one known, loved, understood in our very complexity by the God who made us, and invited to become capable of that same kind love – the love that looks beyond the surface to understand the complexities of others – in other words, to grow into the likeness of God.

Richard Moore may have been blinded by that rubber bullet in 1972. Yet in a strange way he learnt to see better than most of us. He learnt to see past the simple identity of Charles Inness as ‘the British soldier who ruined my life.’ He had the tenacity to learn that that this man was, like all of us, both complex and simple - a man with unique relationships, a history, in his own way shaped by his experience, and yet at the same time, worth getting to know in that complexity - that ultimately he was, like all of us, ‘fearfully and wonderfully made.’

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AI - Artificial Intelligence

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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.