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.

Article

Advent

Awe and wonder

Creed

Wildness

22 November 2024

4 min read

Why does snowfall still awe us?

We long for snow this time of year because longing is all there is to do.

Josh Richards

Josh is a curate in London, and is completing a PhD in theology.

Durham Cathedral.

Jeffrey Zhang on Unsplash.

Why are we so drawn to snow? And what does it say about us that we are? The German theorist Hartmut Rosa begins his wonderfully titled book The Uncontrollability of the World with these words:

"Do you still remember the first snowfall on a late autumn or winter day, when you were a child? It was like the intrusion of a new reality. Something shy and strange that had come to visit us, falling down upon and transforming the world around us, without our having to do anything. An unexpected gift. Falling snow is perhaps the purest manifestation of uncontrollability. We cannot manufacture it, force it, or even confidently predict it."

Rosa argues that we find greatest meaning in that which remains uncontrollable, beyond our grasp. We long for snow this time of year because longing is all there is to do. Artificial snow will always disappoint. We cannot manufacture our own awe.

Rosa warns that modernity is built around "the idea, the hope and desire that we can make the world controllable." At a certain point more influence over something results in that thing being reduced to a mere instrument capable only of frustrating our desires.

I sit down to watch a film that's finally streaming. It gets a bit slow 20 minutes in. I start watching something else. I wonder if I should have seen the film in the cinema.

I catch up with the podcast of the event I decided not to go to. I speed it up as I put the washing in. I couldn't tell you what they discussed.

I turn to social media as one might turn to a snow globe. In its careful curation, all I feel is the ache for the real thing.

In each of these cases, technology has, at least on one level, given me greater control and allowed me to shape my environment in greater accordance with my desires. Rosa identifies that all desire is “driven by a longing to bring something as yet unreachable within our reach.” And yet, in each case, that which I desired—the experience of watching a great film, participation in a stimulating conversation, meaningful human connection—is jeopardised by this supposed improvement.

So, it makes sense that we are on the lookout for snow at this time of year. Something in each of us is still looking to be caught up in something beyond us.

What we think of as a drive to increase choice is often really about control. Putting it in these terms does not invalidate the drive but it should make us more alert to the cost. Greater choice for me means greater control over something or someone.

At the same time, greater control over the environment can also mean less self-control. I am a bundle of contradictory desires, and the more I am empowered and encouraged to pursue all of them, the more I am empowered to pursue none of them consistently. (I still haven't finished Inside Out 2)

The self-frustrating desire that Rosa identifies sits at the heart of so many of the most important debates from artificial intelligence to assisted dying. Control can be conflated with dignity or fulfilment. As uncontrollability is marginalised so too do we risk marginalising that which makes life worth living.

In the season of Advent, Christians remember the birth of Jesus, but its primary purpose was and is to direct our gaze to the end of the world. We might be able to sentimentalise and sanitise the Christmas story, but Advent's apocalyptic summons will always resist our desire for control. It proclaims that we are going to die, that the world will end, and that we will all be judged. You are not in control.

No matter how exhaustive and efficient we believe our control to be, Advent reveals it to be a pretence. There will always be things beyond our grip, and we spend a great deal of time distracting ourselves from them, pretending that it is otherwise.

Advent assures us that we can face this reality because we do not so alone. The God who came as a baby and was executed, experiencing the extremes of human vulnerability, is with us now. It is that God who comes at the end. It is that God whose love gives us comfort and courage.

So, it makes sense that we are on the lookout for snow at this time of year. Something in each of us is still looking to be caught up in something beyond us, something that no technology or system can organise or tame. Snow then acts as an echo of that more profound sense of vulnerability that we are each tempted to avoid. It stirs up our longing to be confronted with something genuinely awe-inspiring.

In the wildness of Advent, we find the promise of what we have longed for: a God who will come and restore all things, an uncontrollable God who comes like snow. Advent calls us to put down the manmade slush and prepare for the coming blizzard. Doing so might help us see where this new reality already intrudes.