Article
AI
Comment
4 min read

It's our mistakes that make us human

What we learn distinguishes us from tech.

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
War & peace
3 min read

Letter from Lviv

Loss, resilience, and a hope one day to count blessings not missile intercepts.

Iryna Dobrohorska is Christian Aid’s Country Response Director for Ukraine.

A woman stands at the back of an armoured military vehicle, the door of which is open.
Iryna stands by a displayed military vehicle.

Ukraine is only two years older than I am. My personal history is intertwined with Ukraine’s history. Instead of the carefree fun I should be having as a young Ukrainian woman, on Saturday I was reflecting that my last two years have been dominated by war since Russia began its full-scale invasion. Over those 730 days, I have witnessed the best and worst of humanity.  

I was evacuated from Kyiv to the sounds of explosions nearby, fearing I would be raped or murdered by Russian soldiers if they entered the capital. I’ve wept over losing university friends in combat. I’ve despaired at how Ukrainian writers are being deliberately targeted by the Kremlin.  

But I also observed the speed that we Ukrainians built trust and social connections with unknown people. I was proud of the warmth of my hometown, Lviv, which welcomed people from the east of the country - it crushed the myths that Russia was trying to ooze into our national life that we were a divided country that didn’t have the right to exist except as part of Russia. 

Not just in Lviv but all over Ukraine. This month in Odesa I felt the same warmth extended to elderly displaced people when I hosted a visit to our local humanitarian partner Heritage Ukraine by the Archbishop of Canterbury, Justin Welby. He saw for himself how the team, funded by the Scottish faith charity Blythswood, had opened their doors and their hearts to these traumatised strangers facing an uncertain future. 

One of those displaced people, Nadia, told me: “We want to go home, but our home is being shelled. At least here we stay with dignity.”  

The violence inflicted by Russia is not becoming any easier in the prolonged war we now face.

t’s a scene of resilience I’ve grown accustomed to as I’ve crisscrossed the country to play my small part in the astonishing humanitarian effort powered by the UK public’s incredibly generous donations.  

The Iryna I saw in the mirror in 2021 wouldn’t recognise the young woman I see looking back at me today.  

In Kherson, I was recording the stories of illegal detention of civilians to the sound of artillery fire. In Mykolaiv, my window view was an apartment block with the roof blown off and clay-coloured water was the only drinking option.  

I never thought that I would learn the types of weaponry used in modern warfare. Now I know the difference between the motorbike sound of a drone from the missile whistle above my head followed by the clank when it detonates nearby.  

Security awareness is an everyday reality in Ukraine. We often debate during an alert whether choosing to sleep in our own beds instead of going to a shelter may turn out to be our last night. A six-months pregnant teacher friend of mine in Kyiv was killed in her sleep from a drone strike.  

The violence inflicted by Russia is not becoming any easier in the prolonged war we now face. Yet I also sense the paradox that we’ve accepted the war becoming everyday normality and so has the rest of the world. 

Global attention today is not focused only on Ukraine. A host of other crises are taking precedence in the need for a humanitarian response. My biggest fear is that the long-term nature of our crisis reduces global actors to sympathizing observers.  

What I do know is that my generation of young Ukrainians who have lost so much will not allow that to happen. More than ever, I feel the need for a just and resolute peace for Ukraine. With the help of our international friends, the day will come when those who have suffered can go back to rebuild their homes and communities.  

As I move on to engage further in Ukraine’s recovery efforts, I feel privileged to have worked for Christian Aid as part of the humanitarian response. I’m most proud of our role in being a catalyst for local people to help themselves by setting their own community priorities in the kind of support they need, giving them a sense of dignity and self-worth.  

It’s that kind of world that I dream about - where one day I will count my country’s blessings instead of how many drones and missiles were intercepted the night before.