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
Community
Sustainability
Wildness
5 min read

What my noisy, messy crow neighbours have taught me about how to live

We can’t control nature; we just need to become more porous to it

Joel Pierce is the administrator of Christ's College, University of Aberdeen. He has recently published his first book.

Crows caw and strut.
Meet the neighbours.
Townsend Walton on Unsplash.

Our neighbours hate our crows. I can’t blame them. The hundreds of crows that occupy the tops of the ancient pines which surround our rural manse are the noisiest and messiest residents I have ever lived near. They greet each sunrise with a din of caws and counter-caws, as if they are deeply concerned that anyone might miss this momentous daily event or the fact that it’s now happening before 5:30a.m. In nesting season, which lasts most of April and May, our car is easily identifiable in any carpark by the crusted grey spots with which the crows see fit to adorn it. Within a week of moving in, we gave up on the washing line so invitingly strung between two of the pines. Our pristine whites were too tempting a target for our crows. 

I do not attend the meetings of our local community council, but I hear whispers of what transpires there. Our crows, evidently, have been a regular topic of conversation. Multiple solutions have been proffered for driving them away. All have been tried and all have failed. Our crows cling fiercely to their homes and their determination is more than a match for any human efforts. If I have the vibe of my community right, at least some of its members feel that there’s something perverse, obscene even, about a flock of birds being allowed to upset our human right to create a serene, comfortable, and convenient habitation. Our clump of houses is surrounded by a visually stunning landscape; shouldn’t the aural landscape be equally beautiful?  

If my family does not mind our crows, it is because the treetop drama is just one more example of many natural encroachments on the house, some more welcome than others.  

Every year we celebrate the miraculous return to our eaves of house martins, home from their intercontinental peregrinations. We look forward to another summer spent watching their acrobatics and listening to their chicks in the nests an arm’s length from our windows.  

Clearing up the mess of our attic’s bats is an annual chore, one thankfully performed stoically by our church’s property convener, but there are compensations - such as the twilight shows they put on outside our living room window, performing impossible turns and reversals midair in their search for prey.  

Less welcome are the massive spiders, which are a perennial presence; the slugs, which seemed to apparate onto the hall carpet all through winter, the mice, two of whom sacrificed themselves to knock our dishwasher out of action by chewing through its hose; and the wasps who built a nest the size of a telephone box in the roof space above our back bathroom.  

Least fun of all has been what we call the Great Earwig Migrations, which have happened twice in our half-decade in the manse and which involve weeks of finding the little bugs under, seemingly, every object and on every surface.  

When we moved into the manse, we expected challenges, the high heating bills, the leaking roof, and the isolation of the countryside. What we did not expect was the experience of porousness; the shock of realising that we had so little control over what other forms of life saw fit to share our habitation with us.  

At first it felt to me perverse, obscene even, that a house, even a 120-year-old house, should be so vulnerable to incursions by animal creation. Shouldn’t our home, our space, be a haven where we can control who or what enters, who or what we feel comfortable with, and who or what we can exclude?  

If I had to give a name to this expectation, maybe it would be that of the buffered home, a play on philosopher Charles Taylor’s description of the modern self as buffered. Taylor contrasts the selves we aspire to be in modernity, ones able to control and order our bodies, our space, our lives, and our relationships so that they accord with our autonomous desires and actions, with those of our premodern ancestors. Medievals and ancients assumed porosity. Bodies were subject not just to biological infection, but spiritual infections too. Projects and plans were frustrated not just by mistakes or personal failings, but by the ever-fickle whims of the goddess Fortuna. Their lives, their bodies, their homes, existed in a perpetual state of vulnerability. The threat of everything falling apart was always on the horizon. 

We want nature to survive, flourish even, but not at the cost of our comforts or our sense of autonomy and security.

Modern technology has helped us tame the more unwelcome of these forces, but it has also given us an overly naive expectation that all that is inconvenient about nature can and should be gradually eliminated. This expectation frames the way we respond to worries about climate change and other creeping environmental crises. We want nature to survive, flourish even, but not at the cost of our comforts or our sense of autonomy and security. But as our ancestors might remind us, we are part of nature too, and, just as in any relationship, mutual vulnerability and sacrifice are needed if we are all going to survive. This is scary, but there are resources within Christianity - within other faiths too - to help us understand that there are benefits to affirming our vulnerability, our porosity. 

My daughters love our crows. They point in wonder as the crows flood into the sky at dusk, hundreds of them making a giant circle once, then twice round the garden, before settling down for the night. When, in late May, grounded fledgings appear, bundles of feathers shocked at the sudden inhospitality of the nest, too stunned to realise they can fly home, my daughters watch over them, anxious lest the local cats take advantage of their bewilderment.  

A few Sundays ago, my youngest, who struggles to stay quiet and well-behaved in Sunday School, pulled me out of church early. We sat on the church lawn staring up at the crows and soon were adapting the andante melodies of that Sunday’s hymns into imagined songs of praise that crows might sing. “No,” my youngest said, simpatico with the crows as she is, “I think they’d want something more upbeat.” And so we tried setting our own corvid-themed praise lyrics to Rosé and Bruno Mars’ song APT, while listening to the caw and counter-caw above. “Dad, how do you think God sees the world?” she asked me when we finished. I stumbled through my best theologically informed explanation of how God could be in every part of creation without being of it, before she stopped me. “I think it’s like a giant snow globe that he holds in his hands.” Watching the birds swirl around us, two stationary figures caught by the same currents of air that were sweeping them aloft, what could I do but agree? 

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