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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Politics

25 September 2024

5 min read

Exploring Labour’s parameters of hope

At the party’s conference, meeting mayors and old friends rekindle a restless hope.

David Barclay

David is a partner with the Good Faith Partnership, collaborating on solutions to social problems.

A group of four people stand in front of an even banner, smiling

Labour mayors smiling, despite the weather.

@UKHospKate.

If weather can set the tone for events then the meteorological omens for the Labour Party Conference this year were hardly promising. By the time I’d made it to Liverpool Dockside from the train station I was already soaked and cold, and wondering if anything our new Government was going to say would cut through the gloom and kindle some much-needed hope and optimism.

The downbeat mood of bedraggled conference-goers searching for umbrellas felt like a pretty fair reflection of the wider public as a whole. A recent piece of research found that ‘broken’ was the most common word used to describe the state of the country, and if Keir Starmer had a honeymoon period as Prime Minister it has clearly already long passed. We have become used to politics as a force of chaos and division, and as the events of this summer revealed all too starkly, this state of our public life has left our communities highly vulnerable to the forces of hate and violence that lie closer to the surface than most of us like to admit to ourselves.

Yet my experience over 48 hours in Liverpool did give me cause for optimism, even if that came from some slightly unexpected places.

Mayors are uniquely unburdened by the departmental silos of Westminster and Whitehall, as well as having a direct mandate from the people and communities they are serving.

One of those was the energy of new MPs. Amongst the large intake of Labour MPs there are some seriously impressive people with a vitality and creativity that has been sorely missing from British politics in recent years. I got the chance to speak to Josh MacAlister, the new MP for Whitehaven and Workington, who is a case in point. Josh set up Frontline, a graduate social worker training programme modelled on Teach First which has had huge success in boosting recruitment into a vital part of our public life. He was then asked by the last Government to lead a landmark review into Children’s Social Care, which is without doubt one of the most broken aspects of British politics with private companies making obscene profits from providing terrible care to vulnerable children, leaving a trail of human misery and financial ruin for local Government in its wake. Now he is looking to put the review’s recommendations into practice with a Government that seems far more likely to spark radical change in this area than it’s predecessor. As a foster carer myself who has seen the human cost of the current system up close and personal, meeting Josh gave me real hope that we can do better for the most vulnerable children in our country.

The other politicians who seemed very much in the limelight in Liverpool were Mayors, who now cover more and more of our English cities and regions and are taking an increasingly significant role in our public conversations. I’ve had the opportunity to work closely with the former Mayor of Bristol Marvin Rees, and saw first-hand the incredible impact that place-based political leaders can create by convening different leaders and organisations from across the public sector, business and charities around common goals.

Mayors are uniquely unburdened by the departmental silos of Westminster and Whitehall, as well as having a direct mandate from the people and communities they are serving. So seeing increasing amounts of resource and powers flow to Mayors is undoubtedly another cause for hope.

One of my areas of passion is refugee and asylum inclusion, and I was part of several conversations over the Conference on how Mayors and other regional actors could play a bigger role in this policy area. As Marvin Rees used to say as Mayor of Bristol, city leaders see the issue of migration and human mobility in a fundamentally different way to national leaders, because nation-states are defined by borders and therefore constantly obsessed with controlling them, whereas cities by definition exist due to the movement of people, good and ideas, and are therefore much more interested in how policy can lead to greater welcome and connection in order to harness the strengths of having a diverse population. It is this kind of mindset and perspective shift that having stronger Mayors could bring into British politics, and to me at least it feels like a breath of fresh air.

History teaches us that really significant change happens rarely from the top down but rather through constellations of leaders and organisations with similar worldviews but distinct resources and perspectives.

My final source of optimism for change came not for politicians at all but from the friends and colleagues I was able to catch up with or bump into. Having been around the world of politics for nearly two decades, things like Party Conferences are a lovely opportunity to touch base with people I might not otherwise get to see.

Over lunch with an old friend from the Bristol Mayor’s Office, we were reflecting on how being part of a wider political movement can create opportunities for collaboration and mutual support over the years and in different professional and personal contexts. As someone whose ancestors were actively involved in the Abolition Movement and the Clapham Sect, I often find myself thinking about the social dynamics of change and how movements and coalitions grow and evolve. History teaches us that really significant change happens rarely from the top down but rather through constellations of leaders and organisations with similar worldviews but distinct resources and perspectives. At a time when it often feels like party politics lacks the imagination and courage to really answer the demands of the time, I find real hope in this idea that we can all organise ourselves and our institutions for change, and we all have a responsibility to build a stronger web of relationships to make that happen.

So, if like me you are longing for some positive change in this country, I think the Labour Party Conference did have some real signs of hope. But it’s not a passive hope that somehow having ‘the grownups in charge’ will by itself guarantee real progress. Instead, it’s a restless, active hope that says nothing will happen without us making it happen, and particularly joining the dots between people of goodwill to build something better than our status quo.