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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17 April 2024

5 min read

Work isn’t working, it’s killing us

We mistake the nature of work and our purpose within it.

Cameron Wiltshire-Plant

Cameron is training to be a vicar in the city of Leicester.

Two people sit beside each other working on laptops, One looks askance to the other who frowns.

Resume Genius on Unsplash.

What is work for? In our individualist society we perhaps might zoom in on the minutiae of the specific role that we fulfil. Work is for the success of the company I work for, work is for building up my CV, work is to earn money enough to live, work is for seeing people I don’t have to live with. But what about work? The burden that humans have always had to gather enough resources to provide for themselves. We are mistaking the nature of work and our purpose within it, and it is beginning to kill us.

Each of the recent generations have had different, and askew, attitudes to their work. Baby boomers- those who got a job and a sensible haircut in the 60s, conceived work as a contract. They worked well at almost anything and the reward was home ownership, resources to provide for a family, and saving for leisure. The purpose of their work is the lifestyle it creates. To some extent, their successors in Gen X had the same perception and the same contract- stick at any industry and the reward will be generous enough to make the graft worth it.

But what happens when that contract is broken? When work no longer leads to those rewards? The Millennial answer is to seek out work that gives purpose, to accept the reward will not be fulfilling and so to find the purpose in the end of the work itself. Even if that means a lifetime of renting and scrimping, because the reward is not to be found in the payment.

A slow generational drift from the true purpose and boundaries of work has left us confused about its point and struggling to engage.

The Gen Z answer to this broken contract is the most fascinating of all; a reluctance to work at all. There is ‘quiet quitting’ whereby you do as little as possible whilst remaining employed, ‘bare minimum Mondays,’ and, of course, ‘lazy girl jobs.’ The purported aim of this generation is to find jobs where they can work from home, do almost nothing, and still receive a generous salary. Others are living the ‘soft life.’ They move in with mum and dad (usually boomers who have run the rat race and received the benefits of the contract) and do something creative part-time, earning little but doing little. It's a bit of the old baby boomer attitude seeking pleasure outside work but without the corresponding work ethic or career mindset.

On top of this is the mental health crisis, which prevents many of Gen Z from working, with one in three non-graduates out of work with mental health conditions. Bosses receive calls from parents of those in their 20s explaining that their children are too unwell to work.

I suggest that these things are linked, and a slow generational drift from the true purpose and boundaries of work has left us confused about its point and struggling to engage. We must look outside ourselves to understand what work was created for. In Genesis, the Christian origin story, God conceives work as a place of dignity and purpose. What Adam and Eve did in the garden mattered- they were the leaders of creation, and God even gave them the responsibility of naming other creatures. Humans were made to have responsibility, made to express this in their work. Even in the drudgery of repeated physical, administrative, or household tasks, we have the freedom to find purpose. We can take pleasure and pride in making things, fixing things, restoring things, even if just to the state they were in when we cleaned last week.

Find the purpose in the making, fixing, restoring, the very task itself.

The ‘quiet quitting’ of Gen Z or the dry contract of the boomers will not cut it. Even in jobs we don’t like, or tasks we find overwhelming, the same reframing is needed, perhaps even more so. Work itself brings purpose, and that is worth giving our whole selves to, otherwise listlessness and sadness will get us. We were made to find purpose and joy in the task of whatever is in front of us, no matter how simple.

Millennials have swung the pendulum too far in the other direction. Yes, this generation have found the importance of purpose in their work. But only in work that has an end outside of itself. Work has been created with an internal, permanent purpose. Suggesting that meaning only comes from employment with obvious altruistic ends means that any other kind of work, domestic or employed, is devoid of this meaning. The same listlessness ensues in any role not found to have such an end.

St Paul elevates work explicitly even beyond this created place of purpose. In his letter to a church in Colossae, he writes, ‘Whatever you do, work at it with all your heart, as working for the Lord, not for human masters.’ In other words, work is an act of worship, acting as if the task we are completing is for God, and putting the requisite effort in.

Of course, this is a massive challenge. How many of us put as much work in to satisfy our bosses as we would if they were the ultimate director of our eternal destiny? But it does redeem those moments where we wonder what the point of what we’re doing is, who will see it, and if it is really worth doing properly at all. God sees. God knows. And that makes it worth doing properly.

Paul also makes it clear here that work is not just what we get paid for. Work is everything we do that is not rest. Whatever we do - employed, at home, inrelation to our families. And this allows those who cannot work, in an employment sense, to take part in God’s purpose for humanity by working in a way in which they can. Whether it’s caring for a relative, nurturing a tiny veg patch, creating a piece of art, or hoovering the carpet. Find the purpose in the making, fixing, restoring, the very task itself. Do it as if God were watching. And feel yourself become more human.