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.

Article

America

Conspiracy theory

Culture

Politics

9 July 2024

6 min read

When America presses in on you

A returning American feels the heat generated by contesting ‘realities'.

Jared Stacy

Jared Stacy holds a Theological Ethics PhD from the University of Aberdeen. His research focuses conspiracy theory, politics, and evangelicalism.

A runner passes a church and a flag in an America suburb, under billowing clouds.

Nick Jones/Midjourney.ai.

There’s a man. Running. My eyes snap into focus. Time slows - I catch his pace. Then, my eyes start widening. An odd feeling. Being forced into it. Seconds stretched out into minutes. Taking in more, looking for more, looking down that sidewalk, on a street corner in New Jersey.

Before? I was sitting there. In the backseat of my Uber. Winding our way through New Jersey. And I’m sitting there, tired, mindlessly scrolling my phone until that moment. He’s there running.

And I see him. T-shirt. Running shorts. And I’m sitting. And—a nervous flash—he’s running. Why?

And my eyes adjust, widening, scanning, checking detail, and I’m almost seized. My mind shaking itself, coming online, no more automation. My consciousness catches up: “you’re in America,” I tell myself.

Right. I’m not in Scotland. And that man is running. Here in New Jersey. In America. And I’m talking back to myself in this silent car. I’m watching him run. I’m asking why am I slowing this down? And—it flashes—“running from what?”

And I catch up to myself. To what I was trying to say, that people in America run from shooters, too. A wave crashing, sitting in the back of the Uber, and look. Now I’m really looking. Not forced. But naming. There’s other pedestrians passing him, walking. Slowing. On the other side of the street— no fast movement. No screaming. No pops.

I start breathing. I didn’t know I stopped. He’s out jogging. The automated safety check ends. The tranquility of tyranny resumes. I’m sitting in the back of an Uber. I make a note. Be more alert at the train station.

—

People ask me how the relocation back to America has been. And I don’t know what to tell them. There’s a wide gap between the visceral sense of it all pressing in on you, and more common—but also abstract—analysis.

The experience of coming back has been oddly particular. I lived in Scotland for three years, and most of it was spent studying America. From that distance, the broad strokes of American life, the larger trajectories and dangers of our shared political decisions and religious extremism, well, they’re a bit clearer.

But coming back, America presses in on you. And the only way of talking about that, maybe, is specificity. Kerouac was always good at articulating this. His America wasn’t the rise of the military industrial complex in the 50s. It was the road, the gas station on the way from Denver, it was jazz, the dim doorways of San Francisco bars. I’m thinking of Kerouac, but also Langston Hughes. Poets and artists who in their own time, held a mirror up to America, helped us move from the “I” to the “we” as Steinbeck said.

We’re all asking a version of “what’s wrong in America?” (And, do keep asking.) But to ask that question often assumes the broadest strokes, the ones that are most clear from a distance. Which means they are, in one at the same time, the most abstract.

These realities are everywhere, and no where. They are the air we breathe. They appear to the privileged as “logical” and to the powerless as “inevitable.”

Asking after democracy, after the election, and the increasingly nebulous “the church” — I’m convinced that answering “what’s wrong in America?” in the biggest of terms is leading me to (wrongly) believe that responsibility lies among the gargantuan free-floating concepts which we use to narrate our world. As if solving the “crisis of democracy” is a conceptual problem. When in reality, it is concrete, and involves more than coalition building or political activism.

Why more? Because the choices Americans have made over the last 10 years originate from imaginations which limits the scope and scale of what is possible. This is what I mean by “America presses in on you.”

Coming back to America has made this clear. I’m more aware than ever that we can produce good answers and generate compelling analysis about America without ever asking in what way these answers or analysis are sharp enough, concrete enough to puncture the bubbles of social reality in which people choose to live and in some cases are forced to live.

These realities are everywhere, and no where. They are the air we breathe. They appear to the privileged as “logical” and to the powerless as “inevitable.” They press in on us all in their own way.

In some cases, they dull our senses. We say, “as long as our Amazon deliveries continue, as long as the streaming services work.” In some cases, they don’t just press in on us, but press down and perpetuate injustice. As Dietrich Bonhoeffer asked, “where are the responsible ones?”

The visceral shock of return is ongoing. And it hits me in strange ways, on Uber rides and in worship. American life is everywhere and I’m seeing it with different eyes.

Do I care about democratic machinery? Yes. Am I concerned about whether or not the church is, in fact, the church, and not a gear in a partisan machine? Yes. But I’m increasingly convinced that responsible living in the American situation becomes most clear, most evident as we consider the large in terms of the small.

Responsibility emerges with attention paid to the concrete and intimate. January 6 is the subject of my dissertation. But before that, in the months leading up to January 6, I was a pastor just 40 miles from DC. For me, January 6 was a local event. That particularity, that specificity, is a window into a concrete responsibility.

And now, back in this same community, I found myself distracted in a church this weekend. The man in front of me raised his hands in worship, revealing a revolver hanging on his belt. What America is this? But also, what Christianity is this?

The visceral shock of return is ongoing. And it hits me in strange ways, on Uber rides and in worship. American life is everywhere and I’m seeing it with different eyes. And I wonder what it will take to break the spell of our most cherished illusions, of a certain type of freedom — one that tells us it is Christian to raise our hand in surrender to a god who we say is loving enough to save the world, but seemingly not strong enough to deliver us from our evil.

In the end, perhaps it’s best to say that it’s been proof of a good ruining. After all, we’ve experienced nothing short of a conversion, a move closer towards peace, towards hope, that unsettles all our strategies of security and comfort underwritten by violence and oppression. This is the kingdom of Heaven. Something Jesus announced that continues to unsettle and disrupt the likes of T.S. Eliot who put it well in Journey of the Magi:

We returned to our places, these

Kingdoms,

But no longer at ease here, in the old

dispensation,

With an alien people clutching their gods

I should be glad of another death.