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

Comment

Mental Health

Poetry

15 October 2024

4 min read

Auden and our anxious age

While the tropes of trauma are still with us, how to not die in our dread?

Jack Nicholson

Jack is a graduate of Peterhouse, University of Cambridge and Blackfriars, University of Oxford. He works in local government.

An outdoor vigil is lit by people holding up mobile phone lights.

Oxford's peace vigil.

BBC News.

Faces along the bar

Cling to their average day:

The lights must never go out,

The music must always play . . .

Lest we should see where we are,

Lost in a haunted wood,

Children afraid of the night

Who have never been happy or good.

This week, we mark the 85th birthday of W. H. Auden’s poem ‘September 1st, 1939’. He describes four solitary drinkers in New York on the cusp of the Second World War. September 1st, 1939: Hitler invades Poland. Those four faces struggle to find meaning in their lives.

In a later, much longer poem of 1947 (first UK edition, 1948) Auden built on this theme, having lived through the War, to identify an ‘Age of Anxiety’. He wrote, ‘We would rather be ruined than changed / We would rather die in our dread / Than climb the cross of the moment / And let our illusions die.’

I have been reflecting on this of late, especially in light of a recent night vigil for peace, remembrance, and unity at Bonn Square, Oxford, where I live. This took place on 7 October, the anniversary of the Hamas attack on Israel in 2023: the darkest day in Jewish history since the time that Auden wrote his poems.

In an Age of Anxiety, Auden wrote, ‘the world needs a wash, and a week off’. The gathering in Oxford was especially poignant because some 250 people chose to go out in the rain, on their Sunday-evening time off, and in the darkness, to hear prayers and readings from different communities. It was as if the world was awash with people coming together.

The Bishop of Oxford the Rt Rev’d Dr Steven Croft said, ‘Our purpose is simply to be together.’ People simply had to do ‘something in the face of the helplessness that we all feel, in the face of these terrible events’. Louise Gordon, co vice president of the Oxford Jewish Congregation, described people ‘clinging to hope’. Imam Monawar Husain stressed that togetherness as such is a ‘symbol’, a symbol of hope.

Symbols abounded. Candles were lit. In ‘September 1st, 1939’, Auden described ‘Ironic points of light’ which

Flash out wherever the Just

Exchange their messages:

May I, composed like them

Of Eros and of dust,

Beleaguered by the same

Negation and despair,

Show an affirming flame.

The crowd spontaneously joined in with the protest song ‘Where Have All the Flowers Gone’, which was first sung in 1955.

It is striking that so many of the tropes and themes concerning what has gone wrong with the world, from our perspective, were already apparent and received clear expression from 1939 through to the mid- to late-1950s, in terrible events, then in thought, poetry, and protest song, in an age of anxiety.

If there are similarities between Auden’s age and our own, then we should be encouraged by that.

Sociologists described the ‘lonely crowd’ in 1950. This suggests that people seek more approval and acceptance from others as the physical distance between them diminishes and society becomes increasingly geared toward consumption. The capacity to come together for peace, remembrance, and unity becomes far less likely.

Philosopher Max Picard lamented the loss of the ’World of Silence’ in 1952: the capacity to be still. And later, in 1958, the word ‘meritocracy’ was first used to describe a dystopian world in which merit (IQ + effort) reigns, replacing previous relational bonds, a sense of togetherness, exemplified in the gathering in Oxford in 2024.

C. S. Lewis, in Oxford in the late 1950s, identified friendship as a kind of love which is regarded 'in the modern world' as 'quite marginal; not a main course in life's banquet', which is especially true if we bypass the banquet and spend our time at the bar (or, worse, online, at home). Louise Gordon, at the vigil, also spoke of the way in which people were counterculturally 'clasping hands in friendship'.

When sociologists today describe the ‘lonely century’ (Noreena Hertz) or when so many sigh over our inability to sit, or stand, in silence, in some sense at least they have not identified anything new. War crimes are, sadly, all too familiar to us. And recently, the lawyer Stephen Toope identified an ‘age of anxiety’ today.

It is not as simple, however, as saying that we have been anxious for the last seventy years. Auden’s age was also one of creativity of which the Anglosphere has been proud, for instance, around the foundation of the National Health Service in 1948. His generation stared into the abyss. They did not die in their dread.

If there are similarities between Auden’s age and our own, then we should be encouraged by that. Lamentation is as old as love, and the choice is as stark as he put it in his poem 85 years ago: ‘love one another or die’.

The notion of vigil is equally old. Today, vigils are held for peace, remembrance, and unity. In Christian liturgy, however, a vigil is specifically a watch during the night, looking forward to the dawn of a new day. ‘As the night watch looks for the morning’, likewise the people wait for Christ, their saviour.

That silent watch is far removed from the solitary ‘faces along the bar’ who ‘cling to their average day’. Horrible events such as those which took place on September 1st, 1939 or October 7th, 2023 bring people together in common purpose, simply to be together and to cling instead to hope for a better tomorrow.

Anxiety is replaced by hope.

Candles are lit. It may well rain. But song will be sung. And people of good-will, having climbed ‘the cross of the moment’, will show what Auden described: that great ‘affirming flame’.