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.

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Music

Sustainability

17 October 2024

4 min read

What’s the point of celebrating the harvest?

We reap what we sow: a once young man’s guide.

George Pitcher

George is a visiting fellow at the London School of Economics and an Anglican priest.

A soot stained burnt-out harvester sits in a recently harvested field.

A burnt-out harvester, Lonesome Farm, Oxfordshire.

Nick Jones.

I plan next week to visit a small nursery school, called Young Haymakers, for their Harvest celebration where toddlers to five-year-olds will sing songs about tractor wheels going round and round, with vigorous manual actions as they shake, shake, shake the apple tree.

We’ll have a Harvest snack at tiny tables, a prayer and then they’ll give me the Harvest gifts from their families for those who may be hungry.

It is, of course, a delight, one of the happiest duties of a parish priest and I’ll miss it terribly as I hand it over to a new Rector. But, while I take nothing away from the sheer joy of thanksgiving of these children for the fruits (and vegetables) of this harvest and for those who farm them, I can’t help but wonder what Harvest, as a festival, really means for grown-ups.

The metaphor has been just too rich to avoid this season. We reap what we sow – and we witness that from Ukraine to Gaza and Lebanon, from Sudan to a United States that teeters on the brink of self-destruction as the world’s beacon of democratic values.

One might add to this sorry list the longer-term grim gathering-in from the world’s reliance on fossil fuels, a failed harvest of biblical-scale abomination as we destroy our planet’s natural capacity to host us. Truly, we have sown a wind and, in so many areas of human endeavour, we look like we reap a whirlwind (literally, in the case of weather crises such as Hurricane Milton).

There are prophetic voices that cry out in our human wilderness, from those who foresee the demise of the US at the hands of a shallow nationalism to those few on the political stage who predict an all-out war in the Middle East as the only possible conclusion to the escalation of revenge attacks between Israel and its neighbours.

The ancients saw famine and failed harvests as judgments for their sin, their divergence from the divine will. It’s unlikely that our world is going to accept such culpability any time soon. To do so would require a humility that we have lost, along with losing our religion.

We need to be careful of ascribing too much of a prophetic voice to Young. This was, after all, a fairly bombed-out singer-songwriter of the start of the Boomer generation.

Setting aside the reaping of whirlwinds from millennia ago, I’m going to invoke a popular folk song from a little over half a century ago. I do so because, in 1972, we lived in a more innocent world, before we knew how industrialisation could destroy our human species and when a western hegemony in democracy was taken for granted. Little did we know the precipice on which we were perched.

The song is by the folk-rock colossus Neil Young and is called, appropriately enough, Harvest. It is, lyrically, one of his more obscure works and to listen to it now is to struggle to get past a strangulated hippy voice that verges on self-parody.

But it repays the effort. Young’s lyrics are infused with religious reference and imagery, but no claim should be made for his affirmation of the Christian faith. Nonetheless, we’re entitled to view art through the prism of what informs us and, as such, Harvest yields its fruits. Young may well be singing about his lover, but it’s in love that all truth is explored.

Listen to it. Young’s Harvest opens with the lines “Did I see you down in a young girl’s town/ with your mother in so much pain?” Through a scriptural lens, this sounds like the pain of incarnation, the sharing of Mother Mary’s agony in visceral human experience.

It continues: “Will I see you give more than I can take”; for the confessing faithful, we’re at the foot of the cross here. “Will I only harvest some?”; we can, all of us, only harvest a little of the mystery of that event. “As the days fly past, will we lose our grasp?”; of course we will – time is finite. “Or fuse it in the sun?”; an uncanny pre-echo of climate change worthy of Nostradamus.

We need to be careful of ascribing too much of a prophetic voice to Young. This was, after all, a fairly bombed-out singer-songwriter of the start of the Boomer generation. But it’s also true that we should be careful of where we look for prophetic voices.

For Young, the Harvest is indeed a cruel and painful event, which we can only understand in part. We do indeed reap what we sow, but there may be purpose to be found in that. And the Harvest is indeed bitter, but in it we may glimpse a plan: “Dream up, dream up, let me fill your cup/ With the promise of a man”.

Or, okay, it’s just a song, harvesting a good deal of cash for its writer and singer. I’m no big fan of Young. But it might just have told me more about the Harvest than singing All Things Bright and Beautiful.