The moral machine: algorithms that give a window into the soul

In TikTok’s algorithm Graham Tomlin saw something that got him thinking. Could it lead to moral health rather than harm?

Graham Tomlin

Graham is the Director of the Centre for Cultural Witness and a former Bishop of Kensington.

A abstract grid of colourful cubes with arrows, crosses and cubes, viewed from above and at an angle

Champ Panupong Techawongthawon's illustration of artificial intelligence.

Google DeepMind on Unsplash.

A few years ago, I was thinking of buying a camera for my wife as a birthday present. I lazily browsed a couple of websites to check out the options. Then something odd started to happen. Somehow, my laptop seemed to think this was a good idea and sprang into action. Whenever I went onto Amazon, Ebay or any other website selling stuff, it kept pushing adverts for cameras at me. Canon or Nikon? Point and Shoot or DSLR? How did it know? Could it read my mind?

It was the first time I noticed the power of the algorithm.

A bit later on, thinking I ought to get up to speed with the regions of social media that I had little clue about, I opened up TikTok and started to swipe upwards (apparently that seemed to be the way to do it). This time I was determined not to like or unlike anything, follow anyone or be followed by anyone. Yet mysteriously, it still worked out what I liked and kept pushing short, addictive videos at me, enticing clips of football, mountains and music along with other random stuff mixed in. How did it know me so well?

It is as old as the hills. The algorithm simply takes the desires of your heart and amplifies them.

Of course, better informed people than me know how all this works. The algorithm figures out which accounts you follow, any comments you’ve posted, clips you’ve liked or shared, and in particular, videos you watched all the way to the end. So, if you linger over a video, it knows you like it. If you rush on quickly to the next one, it makes a mental note that you’re not so keen.

It all feels a little sinister, yet very clever. You often read dark theories of social media, and the way it is re-wiring our brains. Yet when you look a little closer, it is as old as the hills. The algorithm simply takes the desires of your heart and amplifies them. So, if you like or linger over certain videos expressing a particular cultural or political opinion it will send you more of the same. The result is we get confirmed in our own frameworks which never get challenged by others. It's part of why we are so polarised as societies these days. When you ask why ‘the other side’ cannot see the obvious truth that you see, the answer is that they literally don’t see it. They don't see it because the algorithm doesn't feed them the same things as it feeds you.

As a result, TikTok or Facebook is an alarming mirror into the soul – see what it sends you and it just may be that it tells you more about yourself than you would like to know.

Social media like TikTok, Facebook and Twitter (or X) learn to recognise what your heart really desires (not just what you say you do). They notice what you linger over, what catches your fancy and sends you more of the same. They are, apparently, studiously neutral on moral questions. They seem to have no moral designs on you to school or form your soul in particular ways, but are simply a reflection of your own longings. What TikTok, Facebook, Instagram and the others all do is to propel you further in the moral direction in which you are already headed. Which for most of us, is not a great idea.

Now of course there would be howls of protest if TikTok announced a moral code – that it was about to encourage virtue and discourage vice by deliberately sending us improving videos, material that the mysterious people who run it think is good for us. And that is not because we think virtue is bad and vice is good, but because we can’t decide on what virtues we want to encourage or what vices to stamp out. We draw a line at cruelty to children and extreme violence, but not much else. It is also because we hold as sacrosanct the freedom of the (adult) individual to choose his or her own way in life, as long as they don’t hurt anyone else.

Such sites are examplars and vehicles of expressive individualism – not just in the myriads of people who show off their dance moves, sing their songs or act out half-funny scenes on a golf course, but in that they confirm me in me my own wishes. They don’t tell me what to want. But they give me more of what I want. As a result, TikTok or Facebook is an alarming mirror into the soul – see what it sends you and it just may be that it tells you more about yourself than you would like to know.

It matters what we feed our souls with. It matters what stories we allow ourselves to be told.

Such sites appear to be morally neutral. They don’t seem to aim to educate or form you in any particular direction. Or at least they are supposed not to. But of course nothing is entirely neutral.

Funnily enough, it’s not how we bring up children, or educate ourselves. When we bring up a child, most of us have some kind of vague or not so vague moral code in mind. We reward kind and helpful behaviour, and we punish selfish and mean actions. We don’t tend to give more of the same to a child who has eaten the first half of the packet of biscuits, or encourage a brother to hit his sister yet again. We have a goal of some form of moral formation in mind.

Yet, despite our confusion over which virtues to encourage, we need some kind of moral guidance for our wandering and flawed hearts, linked to eyes that are tempted to feast on things that fascinate but are not good for us. Like a glutton who cannot stop eating, even if these sites don’t themselves push extreme violence, pornography, aggression, they offer enough of the soft version of these to draw you in. And it’s not hard to find sites that will take you deeper into the darkness. And those sites will already know the way you are thinking and desiring and are ready to pull you in deeper into the mire.

The problem is not so much with the algorithm. It is with us. Netflix’s documentary, ‘The Social Dilemma’ quotes an alarming statistic - that fake news spreads six times faster than the truth. The reason is not hard to find. We are fascinated by the sensational and alarming rather than something a little more ordinary yet which happens to be true. As one person in the documentary put it: “The internet has a bias towards false information. Because false information makes more money. The truth is boring.”

The moral philosopher Gilbert Meilaender wrote:

“Successful moral education requires a community which does not hesitate to inculcate virtue in the young, which does not settle for the discordant opinions of alternative visions of the good, which worries about what the stories of its poets teach.”

It matters what we feed our souls with. It matters what stories we allow ourselves to be told.

The purveyors of social media are not innocent in this as they do exploit our worst tendencies, but in the end they simply confirm us in our own moral confusion. Yet it does point up the problem in the liberal ideal of leaving ethical decisions entirely up to the individual, to give entirely free choice without any guidance, because with our crooked hearts, it will always end up feeding the darker sides of our characters without a corresponding pull in the other direction, something which Christians called divine Grace.

St Paul wrote to the small group of Christians in Philippi, surrounded by the highly sexualised and violent culture of the Roman empire: “whatever is true, whatever is honourable, whatever is just, whatever is pure, whatever is pleasing, whatever is commendable, if there is any excellence and if there is anything worthy of praise, think about these things.”

I’m not saying don’t watch TikTok. But here’s an idea. Why not try to make it into a morally forming version of what you want to be, not what you are? Exercise a bit of moral direction yourself. If you see a video which you know in your conscience is not good, or is spreading lies, swipe it away quickly. If you see something positive, dwell on it.

If you approach it this way, you might just be able to persuade the algorithm to shape you in good ways and not the bad. It could become a means of growing in goodness, but only if you want it to be.

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AI - Artificial Intelligence

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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.