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.

Review

Culture

Film & TV

8 March 2024

4 min read

The Zone of Interest’s peripheral vision of evil

Director Jonathan Glazer bests Spielberg thanks to a quality of attention.

Yaroslav Walker

Yaroslav is assistant priest at Holy Trinity, Sloane Square, London.

in an immaculate garden a family play in and around a small swimming pool. Beyond the garden wall, a barracks is visble with crematorium smoke rising beyond it.

The Höss family at play at their Auschwitz home.

This has been a tremendously difficult review to write. I’ve written and re-written this review for two weeks now. You will see why.

The Zone of Interest begins idyllically. A family is picnicking by a lake. The men swim, the women pick berries in the woods. It's a gorgeous sunny day. The family happily drive home down an evocatively headlamp-lit country road. The father walks through their palatial house, turning off every light. The next morning the family are gathered outside to give the father his birthday present: a canoe. Two boys lead their blindfolded father gently down the steps from the house to the garden. The garden is magnificent: filled with flowers and immaculately kempt.

The father is wearing an SS uniform. The camera pans round the garden. Behind the garden wall you see glimpses of barbed wire, belching chimneys, rows of dormitories. You hear shouts, moans, cries, gunshots. This is no ordinary house, no ordinary garden, no ordinary family. This is the home of SS-Obersturmbannführer Rudolf Höss, his wife Hedwig, and their five children. This is Auschwitz. Höss runs it. Hedwig runs their beautiful home. The children run around. That is the next 100 minutes of film. It's a realist family drama from the 1940s. The children are children, the wife is house-proud to a fault, and the husband is hard-working, ambitious, and keen to do a good job. I don’t want to say much more. You simply need to go and see the film.

When Hannah Arendt published Eichmann in Jerusalem: A Report on the Banality of Evil it was controversial. Many commentators misunderstood or misrepresented her point. Evil acts - especially an evil act as totemic as the Holocaust - are not ‘banal’. The people who commit evil on such a scale often can be. A genocidal machine of such scale and complexity needs a tremendous number of cogs… they can’t all be murderous sociopaths. Eichmann was banal in himself - he was of average intelligence, uncreative in his thinking, a follower of fads and joiner of organisations.

This is exactly how Rudolf and Hedwig are presented. Christian Friedel plays Höss with an almost continual ambience of low-level boredom. Pillow-talk with his wife, reading to his children, a discussion about the most efficient way to incinerate the Jews in his camp, is all spoken with roughly the same expression and tone. He clearly wants to do well in his work, but it doesn’t matter what the work is. Sandra Hüller gives Hedwig a marvelous, slightly nervous energy. She always seems to be keeping a combination of grasping envy and slimy smugness just barely contained beneath the surface of her features. She can’t think of much beyond the order of her house, the beauty of her garden, and her status among other SS wives. Their quality of attention is essentially absent.

Glazer has the maturity to recognise that looking directly at evil stops you from really seeing it.

Trump: from apprentice to master of contempt

Yaroslav Walker

Disdain is at the core of the Trump biopic.

06 November 2024

5 min read

Not to be flippant, but they would be dreadful dinner-party guests, and not just because they are Nazis: they seemingly have no capacity for a thought that goes beyond themselves, and their immediate environment, and their immediate needs and wants. They are banal.

Between them Jonathan Glazer (director), Łukasz Żal (cinematographer), and Mica Levi (musician) give a remarkable demonstration of the power of restraint. The camerawork is naturalistic and almost never showy. The performers look like they were given the latitude simply to be in the scene: no over-direction. The soundscape is hauntingly bare. There is little music or sound beyond the ambient. The mood is, of course, set by the fact that the ambient sounds are roaring furnaces, gunshots, and desperate screaming. The film does not attempt to make a point or demand a response; Glazer simply gives you a slice of domestic life that just happens to be located next door to a death-camp.

Steven Spielberg has suggested this is the best film tackling the dreadful subject of the Holocaust since Schindler's List. He is wrong. The Zone of Interest is a far superior film. I love Spielberg, but Schindler's List is offensively bad. It takes a subject of such abject depravity and then tries to emotionally manipulate you into feeling bad: the music, the speeches, the more-is-more approach to showing you the pinnacle of human cruelty. Glazer has the maturity to recognise that looking directly at evil stops you from really seeing it. As Augustine says, evil is nothing in itself. Evil is the corruption and annihilation of what is good and lovely. Evil isn’t some great monster that forever battles with God. God is good…no…God is Good. So evil is literally nothing - goodness in decay to nothingness.

Glazer, whether intentionally or not, recognises this theological truth. Looking at the full abyssal nothingness of evil is beyond human comprehension. But if you see it in the periphery, then you see it. When you hear the screams of the innocent and at the same time see a woman cheerfully ignore them while she plays in a flowerbed with her infant daughter, then you recognise the potential for human depravity. You can’t truly encounter the nothingness of evil, and the dangers of letting its parasitical and destructive hunger spread, until you’ve watched others ignore it without missing a beat. I’ve never cried while watching Schindler's List. I cried while watching The Zone of Interest. Twice.

Glazer et al have done the world a great service with this film. They’ve reminded us that the weapon against evil is the rejection of empty banality. Banality is loving yourself. To reject banality is to embrace a quality of attention that is truly outward looking. Rejecting banality is loving your neighbour as yourself.