Are we really our vote?

Elections exacerbates the worst of our digital personality.

Jamie Mulvaney

Jamie is Associate Minister at Holy Trinity Clapham, London.

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

The divide

Nick Jones/Midjourney.ai.

All the world’s a stage. Never more so than in a general election. Amidst the usual stunts and gimmicks of political leaders in election season (and much of the drama unintended or badly scripted) we too have become the performers. It doesn’t matter that Rishi and Keir are ‘boring’ - the digital space has created platforms for us also to posture and present our political positions. But in acting for the crowd, I worry that we’re losing a sense of who we are.

If fame is the mask that eats the face of its wearer, then we’re all at risk of losing ourselves. Absurd! You might say, I’m not famous! But we have become mini celebrities to our tens and tens, if not hundreds or thousands of followers. Every post, story, or reel is an opportunity to project who we are and what we’re about, and what we think. Times columnist James Marriott goes so far as to write that ‘the root of our modern problem is the way opinion has become bound up with identity. In the absence of religious or community affiliations our opinions have become crucial to our sense of self.’

A recent study by New York University shows that many people in America are starting with politics as their basis for their identity. They say, "I'm a Democrat or a Republican first and foremost", and then shifting parts of their identity around like ethnicity and religion to suit their political identity. I’ve stopped being surprised when I see someone’s Twitter bio listing their ideology before anything else that might be core to their identity. But are we really our vote, or is there more to us than that?

The platform is a precarious place to position yourself, as is the harsh glare of the smartphone blue light.

If politics is the mask that we are presenting to the world, then we are engaging in a hollowing out of our representative democracy. Who needs an MP if we’re all directly involved? Don't get me wrong – I'm not in favour of apathy, inaction, or even lack of protest. But we elect members of parliament because we can’t all be directly engaged all of the time. Speaking all the time, about all of the things. Strong opinions used to be the possessions of those who had too much time on their hands… now you can be busy watch and pass on a meme in a matter of seconds without proper reflection and engagement. And so we’ve imported the very worst of student politics into our everyday digital lives and identities.

Student politics is the often-formative, immature peacocking of ideologies one way or the other. It also often reduces others to caricatures, and the campus culture has increasingly become one that cancels rather than listens and illuminates. And so, the loudest voices dominate and intimidate others to comply. Someone I barely know recently sent me an invitation to reshare a strong opinion on social media. We’ve never spoken about this topic, and they have no idea if I've in fact developed an opinion on it. Marriott writes, ‘For many, an opinion has achieved the status of a positive moral duty… the implication: to reserve judgement is to sin.’ And without a merciful judge, sin means shame: not just what I do is bad, but who I am is bad too.

The dopamine hit we get from these short bursts of antisocial media use is killing us. Martin Amis said that 'Being inoffensive, and being offended, are now the twin addictions of the culture.' That was 1996. Now engaging in politics in the era of the smartphone, we are addicted to the current age’s offended/being inoffensive dichotomy. Like the drug that it is, wrongly used, it will disfigure us as it propels us to play the roles the crowds want. The platform is a precarious place to position yourself, as is the harsh glare of the smartphone blue light.

Every general election transforms the wooden floorboards of school halls into holy ground.

Countless commentators have offered the wisdom that you are who you are when nobody’s watching. But we’re all watching, all the time. First, we had the Twitter election, then the Facebook election, and now political parties have recently launched accounts on TikTok (all the while wondering if they are going to try to ban it). What we need is a post-social media election. If the world is facing impending doom, then we don’t need doomscrolling to help. Whether it’s activism or slacktivism, our politics need not be our identity. We need a greater light source that reveals our truest selves, and helps us to be fully ourselves. This ‘audience of one’ is a much simpler, if not easier, way to live.

After all, a secret ballot means nobody’s watching, and we don’t have to broadcast our vote, unless we really want to. On the 4th July, the ‘only poll that matters’ is private. We step out of the spotlights of our screens, and we cast a vote for the kind of leaders we want. Every general election transforms the wooden floorboards of school halls into holy ground.

We’d do well to treat the online world as a sacred space too, and each person as a sacred person. Perhaps it’s time not only for a general election, but also a personal election: to step out of the spotlight, and the light of our phones, and quietly cast a vote for who we want to be.

Article

Comment

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.