Article

Comment

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.

Review

Books

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Digital

Re-enchanting

6 May 2024

9 min read

Re-enchanting the anxious generation

The future doesn’t have to be horrible.

Krish Kandiah

Krish is a social entrepreneur partnering across civil society, faith communities, government and philanthropy. He founded The Sanctuary Foundation.

Two teenager lean against a rail, arms crossed, and laugh together.

LaShawn Dobbs on Unsplash.

I meet many anxious people as I wait for meetings in the Palace Westminster, but one in particular stands out. As I was queueing to get through security, a breathless American man rushed over asking if he was in the right place to meet the Minister of State for Universities. Once I had reassured him that he was, and he had caught his breath, I asked him where he was from and what he did for a job. He told me he was a social psychologist from New York.

Funnily enough, the night before, I had been reading a book by a social psychologist from New York. I asked the man if he had come across the author, Jonathan Haidt. He replied with a smile: “I am Jonathan Haidt.”

I chuckle when I remember that chance encounter, especially considering the title of his latest book – The Anxious Generation. The book tackles a much more serious topic than queueing nerves. It claims to show, in the words of the subtitle: “How the Great Rewiring of Childhood is Causing an Epidemic of Mental Illness”.

The Anxious Generation is a tightly argued plea to parents and educators for a radical change in the way that young people are allowed to engage with digital technology in general and social media in particular.

It follows the line of thought he began in his book The Coddling of the American Mind which argued that ‘helicopter parenting’ has led to such a fragility in young adults that universities are no longer places of open and free dialogue, but somewhere young people feel the need to be protected from ideas they disagree with. That problem was what Haidt was preparing to discuss with the Minister when we met outside Parliament.

“Embracing all this is a desire to maintain and hand on to our children an earth that offers genuine possibilities of flourishing.”

Mary Grey

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The Anxious Generation makes a compelling case for the way we are failing a generation of children. It likens the social media world to another planet that we are all happily sending our children off to without first learning about or checking any of the risks linked with the potentially toxic environment. It concludes that as much as we are overprotecting our children in the physical world, we are under-protecting them in the digital world, thereby complicit in the resulting tidal wave of mental health disorders.

Haidt writes:

“Are screen-based experiences less valuable than real-life flesh-and-blood experiences? When we’re talking about children whose brains evolved to expect certain kinds of experiences at certain ages, yes. A resounding yes.”

Haidt argues that what children need is less screen time and more unsupervised play. Some might call this the re-enchantment of childhood– a rediscovery of wonder, and simple emotional connections with freedom, food, imagination, curiosity, those around them and the great outdoors. Perhaps there is healthy therapy to be found in this re-enchantment through the sharing of art, poetry, and fantasy. Maybe a rediscovery of faith and hope can help to bring healing.

Mary Grey, Emeritus Professor of Theology at the University of Wales in Lampeter, describes re-enchantment like this:

“The market’s language of desire must be replaced by reflecting what we really long for, like satisfying relationships and intimacy, meaningful communities where our values are shared, with working conditions that do not create an unbearable level of stress, enough income to cover basic and leisure needs, and planning for the future. Embracing all this is a desire to maintain and hand on to our children an earth that offers genuine possibilities of flourishing. … This is not an invitation to exchange reality for Magic Kingdoms, but to become embodied kinships of women, men, children and earth creatures in a re-imagined and transformed world of sustainable earth communities of healing and hope.”

The re-enchantment of childhood is an attractive theory. I often find myself comparing my children’s childhood with that of my own. I’m sure I played more in the garden than they do, climbed more trees, cycled more round the block, round the town, and later round the county in my spare time. I remember as a teenager getting on a bus to travel from Brighton to Durham without either parents or phones. Around the same time, I travelled to Tbilisi, Georgia with just a backpack, a map, a couple of friends and quite a lot of self-confidence. I wish that my children could experience some of the pleasures that come with fixing a bike or looking up at the stars or browsing the library to find answers, instead of just googling.

Yet, at the same time, if my children were making their way to Durham or Tbilisi today, I would certainly make sure they had plenty of charge on their phone and all the necessary mobile data roaming rights, and I would probably WhatsApp them regularly until they arrived safely at their destination.

Haidt presents a perfect story, one that explains all the evidence. He doesn’t mention anything that might challenge it, or anything that the doesn’t quite fit.

Haidt’s book touches a nerve. Not just because of my own contradictory feelings as a parent, but because of the shocking statistics that reflect the wider state of our nation’s children. With waiting lists for Child and Adolescent Mental Health Services at a record high, a 47 per cent increase in young people being treated for eating disorders compared to pre-pandemic, and an enormous leap in prevalence of probable mental disorder from one in nine children (in England aged 8-25 years old in 2017) to one in five (similar cohort in 2023), the mental health of the next generation is rightly highly concerning.

The blame has been levelled in many different directions: COVID lockdowns, school league tables, excessive homework, helicopter parenting, screen time, and general disenchantment in society at large. Some even say the increase is directly related to the increase in public discussion and awareness about mental health disorders.

For Haidt it is social media that is public mental health enemy number one. However, he does admit he is not a specialist in children’s mental health, child psychology or clinical psychology. This has led to some criticism about his conclusions. Professor Candice L. Odgers, the Associate Dean for research into psychological science and informatics at the University of California challenges head on the central argument of Haidt’s book. She claims:

“...the book’s repeated suggestion that digital technologies are rewiring our children’s brains and causing an epidemic of mental illness is not supported by science. Worse, the bold proposal that social media is to blame might distract us from effectively responding to the real causes of the current mental health crisis in young people.”

Similarly Henna Cundill, a researcher with the centre for autism and theology at the University of Aberdeen, wrote last week in an article for Seen and Unseen:

“From a scientific perspective, the argument is a barrage of statistics, arranged to the tune of ‘correlation equals causation’. “

Cundill and Professor Odgers are right to be sceptical. Sometimes we let our commitment to a story shape the way that we read the evidence. If there’s one thing I remember from A- level statistics it is that causation and correlation should not be confused. In his bid to add urgency and cogency to his argument, Haidt presents a perfect story, one that explains all the evidence. He doesn’t mention anything that might challenge it, or anything that the doesn’t quite fit. It is not a scientific treatise - which is both the book’s strength and its weakness.

Nevertheless, many of the recommendations Haidt suggests are wise and helpful. Even Professor Odgers, to some extent, agrees.

“Many of Haidt’s solutions for parents, adolescents, educators and big technology firms are reasonable, including stricter content-moderation policies and requiring companies to take user age into account when designing platforms and algorithms. Others, such as age-based restrictions and bans on mobile devices, are unlikely to be effective in practice — or worse, could backfire given what we know about adolescent behaviour.”

Therein lies the issue. Because of the lack of evidence for the causes, all we are left with – even from the experts – is what may or may not be likely to be effective in practice.

I wonder if this paucity of robust scientific evidence stems from the fact that the issues facing the next generation are even more complex than we could ever imagine.

The truth is that hype, hysteria and horror are more likely to gain traction than humdrum and happy medium.

Every generation is different from the last. My own youth in the UK in the late 1980s when I became part of the video games and micro-computers subculture was just as much a mystery to my parents and teachers. My generation’s problems were blamed on everything from the microwave to Mrs Thatcher to the milk that we drank following the disaster at Chernobyl.

It seems to me too simplistic to demonise the technology. It’s an easy sell, after all. In fact, whenever there is a major technical shift, horror stories are created by those who believe the dangers outweigh the benefits. Mary Shelley’s Frankenstein seems to be a reaction to the industrial revolution. The nuclear threat led to movies about Godzilla and 60-foot-tall Amazonian women. The advent of the internet brought us the Terminator films.

The truth is that hype, hysteria and horror are more likely to gain traction than humdrum and happy medium. Yet, despite the many and serious problems, the rise of new technologies, even social media, also have much to offer, and they are not going away soon. Instead of demonising new technology as the problem, perhaps we need to find ways to turn it into the solution.

And perhaps there are glimmers of hope. I like the fact that my children are connected to the wider world, that they know people and languages from more diverse places than I ever did. I like that they know what is going on in the world way before the 9 o’clock news. I like the fact that they are on the cutting edge of advancements I will never experience in my lifetime. I like the fact that they can get their homework checked by AI, that they don’t need to phone me up every time they want to try a new recipe, that we can grumble together about the football match in real time even when we are on different sides of the world. I like that they can browse the Bible or listen to podcasts about history while they are waiting at a bus stop. I like the fact that they have libraries of books at their fingertips, that they can disappear into fantasy worlds with a swipe and don’t have to spend hours at the job centre when they need to find work. And I love the fact that my children and their friends are rediscovering board games, crochet, embroidery and hiking and taking them to a whole new level because they are learning these crafts from experts around the world.

I sincerely appreciate that Jonathan Haidt cares about the real and desperate problem of youth mental health. His book adds weight to the pleas of those of us advocating for urgent investment into this area. It reminds us of the world beyond the digital borders and it gives us hope that the re-enchantment of childhood is not impossible.

However, the solution to these complex issues cannot be found in nostalgia alone. We cannot turn back the clock, nor should we want to. The past had problems of its own.

I would love someone to write a book that looks forward, that equips young people to live in the worlds of today and tomorrow. If, by some strange coincidence, Jonathan Haidt is reading this article and is in the process of writing that book, I do hope I will bump into him again to thank him.