The wisdom of living with the question not googling the quick answer

Are we trading wisdom for apparent certainty?

Elizabeth Wainwright

Elizabeth Wainwright is a writer, coach and walking guide. She's a former district councillor and has a background in international development.

A person sits on a window sill with one raise knee.

In much of the work I’ve been involved in, whether writing, coaching, hillwalking, local politics, or international development, I’ve learned to ask questions I don’t have answers to, and sometimes neither do the people I’m with. We sit with the question, decide whether it’s the right one, try to discern what else emerges in our peripheral vision as we focus on it. It takes effort to come to something like an answer, and in doing so, we peel off layers of unknowing. It has taken practice, and it can be slow work. But in searching for good questions, I see they can be an entry point into not just information but wisdom too. And there are many places that are hungry for wisdom.

I longed for better questions and more curiosity when I was a district councillor. Curiosity that made space for residents to share their stories and opinions, curiosity about different political positions and what might happen if we work across divides, about what might be possible if we could get past the way things had always been and imagine what they could become. But the desire to save face, to be seen to be in control, was strong, and I felt it often got in the way of real conversation. To be committed to the process more than the product takes courage, I think. The courage of uncertainty, of saying, “I don’t know”, of putting humility and honesty before status. Sitting with questions can be difficult, perhaps even feeling like a luxury, but they show us ourselves and the world a bit more clearly, offering a pathway to relationship, to collaboration, to humanity, to wisdom.

I have been thinking about the temptation to trade the wisdom of questions for the apparent certainty of instant answers, even wrong answers. It is a temptation that, in our age of one-click everything and the importance of image, is only quickening. It is a temptation that I have been thinking about, wondering if it started with that old temptation in the Garden of Eden. Staring at a painting of Adam and Eve in the Prado gallery a while back, I wondered whether that original temptation set us on a path of instant information but also of depleted wisdom.

As I peered into the painting, a thought sparked: what if God told Adam and Eve they could eat fruit from any tree except the tree of the knowledge of good and evil not because he wanted us to stay ignorant or innocent (something that Philip Pullman explores in his Northern Lights books) but because he knew it was too easy for us to eat from that tree. He wanted us to live, and to search for knowing and wisdom ourselves. Eating the fruit would bypass experience, there’d be no need to develop muscles of thinking and discernment. And he wanted us to be wise, to keep creating and tending the world with him. When those first pulled-from-the-earth humans ate the fruit, it was like us still-dependent-on-the-earth humans asking Artificial Intelligence to write us an essay: we might get what we want, but we’ve bypassed the experience of thinking, creating, discerning what’s ours to say.

This analogy creaks when pulled too far, but it lingers all the same. There’s a quote I’ve long appreciated, from the biologist E.O.Wilson:

“We are drowning in information, while starving for wisdom. The world henceforth will be run by synthesisers, people able to put together the right information at the right time, think critically about it, and make important choices wisely.”

Picking the fruit, becoming reliant on AI, gives us information but perhaps not the ability to think, and not the wisdom to make good choices. God wants us to be wise. The Bible’s Book of James says we can ask for wisdom. It is not withheld from us; it is not hidden. It’s everywhere, waiting to be called on.

There are no digital shortcuts to the difficult work of community, no AI-shortcut to loving well, just as there was never a shortcut to complete knowledge of good and evil.

It’s so easy to find answers now — Google solves problems and democratises access to information, unless of course you’re in a part of the world that has no digital access. In rural mid Devon and in rural Zambia, both places I’ve worked deeply with communities, you can’t simply access an online meeting or find the answer to a question you might have. Sometimes this feels a life-giving challenge: it increases the need for relationship, for trust, for community conversation. Other times is hinders progress: it means people can’t access jobs, or basic health knowledge, or government decisions that affect them. Google has changed who can access the world, how we interact with it, how we think and learn. Historically, people memorised poetry and scripture and news. The printing press changed that; words were pulled from minds and printed on paper. Our online existence has accelerated that: I don’t need to stretch my memory if I don’t want — I can find and store what I need digitally. We’ve outsourced our memory, and I wonder whether we’re also outsourcing our capacity to think and discern.

In doing so, we risk disconnecting from ourselves, our relationships, our communities, our places. No longer do we need to rely on each other for knowing and wisdom — we can trust faceless digital forces that profit from us doing so. We risk too our unique ability to think creatively, to discern good sources, to think deeply and with nuance about a topic. If AI learns from everything that has been, it can synthesise and perhaps even extrapolate from that and project forward, but it can’t creatively imagine. It can’t reflect and speak wisdom.

There is an ease and convenience to Google, to AI. There was an ease and convenience to picking the fruit to gain knowledge. But we are not called to ease and convenience. I think we are called to love, to care for our neighbours, and these things are necessarily inconvenient. Digital access to information is a tool, a resource, a gift that benefits many of us in many ways. But it could easily blunt our humanity, becoming a temptation that bypasses the work of truly living. There are no digital shortcuts to the difficult work of community, no AI-shortcut to loving well, just as there was never a shortcut to complete knowledge of good and evil. With information available at the tug of a fruit — a click, a download, a request to an artificial intelligence — I am curious how our ability to sit with questions will change, whether we’ll feel beauty or fear in not having all the answers, whether we’ll lose our ability to discern, and to “have faith in what we do not see.”

Sitting with questions, with curiosity, is I think an entry point to faith and to mystery.

Jesus calls us to questions, to relationship, to love, not to answers that might be easily won but little interrogated. He knew that questions, not answers, were often the best response to questions. Questions to sit with, to hold up as a mirror, to walk as a path to wisdom. He asked a lot of them. Who do you say I am? How many loaves do you have? Do you love me? What do you want? Why are you afraid? The Bible records Jesus asking questions, and sometimes offering answers too. But the point often seems to be the question itself, giving endless chances for people to question their assumptions, and their judgements, and to deepen their faith and make it personal. In doing so, Jesus offered a path to deeper and more meaningful knowledge of God, the world, others, and ourselves. And by asking questions he gave dignity to people, listening deeply to them, loving them, calling them into themselves.

Sitting with questions, with curiosity, is I think an entry point to faith and to mystery. And we have companions as we do this: Jesus, early Christian mystics, prayer, the Psalms, each other – these are all places I turn to dig deeper into the knowing that comes through unknowing. To live with questions and within mystery, to listen deeply to each other, to speak the language of soul rather than certainty, might be difficult and countercultural. But in an age where the future is becoming less certain despite the whole world seemingly at our fingertips, I think it is where our hope is. After all, “what good is it for a man to gain the whole world but forfeit his soul?”

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21 June 2024

4 min read

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.