Confessions of an atheist philosopher. Part 3: the secret about truth I learned at seminary

In the third of a series, philosopher Stefani Ruper recalls learning a crucial lesson about her knowledge and her truth claims.

Stefani Ruper

Stefani Ruper is a philosopher specialising in the ethics of belief and Associate Member of Christ Church College, Oxford. She received her PhD from the Theology & Religion faculty at the University of Oxford in 2020.

An unfocused views down on to stacks of books in an old library.

Jana Kowalewicz on Unsplash.

My name is Stefani. I was a committed atheist for almost my entire life. I studied religion to try to figure out how to have spiritual fulfillment without God. I tried writing books on spirituality for agnostics and atheists, but I gave up because the answers were terrible. Two years after completing my PhD, I finally realised that that’s because the answer is God.

Today, I explain how and why I decided to walk into Christian faith.

Here at Seen and Unseen I am publishing a six-article series highlighting key turning points or realisations I made on my walk into faith. It tells my story, and it tells our story too.

For the first 20 years of my life, I thought religion was for stupid and weak people. I carried a copy of Richard Dawkins’s The God Delusion in my purse. I studied science as a way to defeat religion.

But one day, while titrating an iron solution in a laboratory, a sudden realization crashed over me. I remember just staring at the orange solution simmering in the beaker, thinking, “oh no, oh no, oh no, oh no, oh no.”

The realization was that I had dismissed religion as stupid without ever engaging it. I had never even asked religious people what they thought! I had done all this while priding myself on open-mindedness.

This struck me as deeply hypocritical. I had always thought that one of the hallmarks of a good argument was being able to defend the ideas of your enemies. I wasn’t even close.

So, I printed 500 pages from the Zygon Journal of Religion and Science. I sat down with a cup of tea. And after reading just two pages, I set the stack of paper back down on the desk and thumped my head down on top of them.

Oh no.

The theologians had a point!

To seminary

Twelve months later, I dropped my duffel bag on the floor of my new room in Theology House. Theology House was the residence of the most earnest students training to be pastors at the Boston University School of Theology.

I was an atheist, but the seminary administrators gave me the benefit of the doubt when I told them I wanted to be as immersed in the world of faith as possible. We had house-dinner planned for that night, and school was to begin Monday. I couldn’t wait. I was going to get a master’s degree in theology as an atheist.

I spent the next two years proving my old self wrong. It was delightful. Every day was a new opportunity to unearth another bias I didn’t know I had, or to discover another philosophical approach I hadn’t known existed. It was occasionally difficult to let go of certain cherished ideas, but it was more than worth it. The intellectual richness of faith blew my mind over and over.

About six months into my studies, I ran into a secular friend I used to sit around and bash religion with.

“So, what have you learned at seminary?” he asked me, grimacing. I told him the simple but life-changing truth: Christianity is intellectually rigorous. It’s reasonable. It can even be beautiful.

“Did you become a believer?” he asked. “No,” I said, shrugging. “But I’m beginning understand why other people do.”

Why do we believe what we believe?

The most important question I ended up asking at seminary was about the nature of belief itself. I needed to understand: how could my roommates and I all work so hard to be reasonable, but still believe such different things?

Rationality, I learned, is always contextual. All of us would like to think that what we believe—what seems to us the obvious, “rational” conclusion—is the truth. But it’s not. There are eight billion people on this planet and every single one of us thinks we are right about everything.

Each conclusion each of us draws comes from deploying our best possible reasoning to the model of reality that lives in our heads. These models are always under revision; they are the result of the model of one minute ago plus whatever happened in that minute. This process stretches all the way back to before birth, since exposure to different sounds and nutrients in the womb impacted how we began making sense of the world. Then we were born into contexts that came pre-laden with various metaphysical presuppositions, attitudes, and values. Throughout life we did and continue to do our best to reason within these models and to steer their development.

This “best reasoning” is never pure intellect. There is no such thing as reason unbiased by feeling. It is now an accepted scientific fact that thought and feeling are always intertwined.

Indeed, rationality itself may be best thought of as a feeling. The philosopher William James says we deem things true when they give us the “sentiment of rationality”—that is, a feeling of satisfaction or harmony that occurs when an idea fits well with our current model of reality. This doesn’t mean reason and reasonableness don’t exist; it means that, contrary to the popular myth that quality thinking is free of emotion, emotional awareness is a key element of it.

My friends and I were all reasonable while believing different things because we each made sincere effort to improve our reasoning as thought-feelers born into different models of reality. None of us could claim with 100 per cent certainty that we were correct. What we could do was welcome new insights into ourselves, one another, and the world that would help us keep developing our models in the direction of truth.

The path to truth

By the time I graduated from seminary, I hadn’t changed my mind on God. I remained a firm atheist.

But I had learned a crucial lesson: my knowledge and truth claims were far from perfect. If I wanted to say true things or to keep getting closer to the truth—which I very much did, my loyalty to truth still my highest value—I needed to do two things:

First, I needed to keep untangling my own personal history, thoughts, and feelings. Only through self-awareness could I unpack my own biases, hone my capacities to reason amidst emotion, and discern the elements of my worldview worth keeping or leaving behind.

Second, I needed to keep engaging people who were different from me. Only through exposure to new ideas could I expand or develop my own.

Today, my model of reality includes something I thought it never would: God. But this change took twelve years of the most careful, self-aware, humble, prudent, and open-minded quest for truth I could manage.

I’m not done revising the model, and I won’t ever be. God will almost surely remain a part of it, but I’m open to the possibility He will not. I’ll keep learning about myself; I’ll keep learning about others; I’ll keep steering my model as responsibly as I am able.

The ultimate truth of things beats at the heart of all our eight billion different perspectives; the best any of us can do is keep working to beat in harmony with it.

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.