How C.S. Lewis used myth to supercharge storytelling

Great stories allow ideas to be experienced rather than merely thought about.

Simon Horobin

Simon Horobin is Professor of English Language & Literature, Magdalen College, Oxford University.

Aslan sculpture in Belfast, Lewis' birthplace.

K. Mitch Hodge on Unsplash.

‘I’m tall, fat, rather bald, red-faced, double-chinned, black-haired, have a deep voice, and wear glasses for reading’. That is how C.S. Lewis described himself to a class of Fifth Grade pupils in Maryland who wrote to him in May 1954. An exhibition this summer at Magdalen College, Oxford, entitled C.S. Lewis: Words and Worlds, includes this letter along with a variety of personal objects, letters, books, manuscripts and audio materials relating to one of its most famous fellows.

As well as answering questions about plot details and forthcoming books in the series, Lewis corrects their view that everything in the Narnia books represents something in our own world. As he notes, that is indeed how Bunyan’s Pilgrim’s Progress works – a reference which may have been lost on his ten-year-old correspondents – but that’s not what Lewis intended in the Narnia stories. Instead, Lewis explains that he set out to write a ‘supposal’ rather than an allegory. He began by asking himself the question: ‘Suppose there were a land like Narnia and that the Son of God, as He became a Man in our world, became a Lion there, what would happen?’

For Lewis, the great value of stories is the way they allow their readers to experience ideas rather than simply think about them. In an essay called ‘Myth Became Fact’ he notes the impossibility of feeling an emotion such as pleasure and simultaneously studying it. But if you aren’t roaring with laughter, how can you genuinely understand humour? If you are suffering from toothache, you will be unable to write. But once the toothache has subsided, how could you write a book about pain? Lewis explains this paradox using the myth of Orpheus and Eurydice. Orpheus was permitted to lead his beloved wife out of the underworld, but the moment he looks back at her, she disappears. We can draw an abstract truth from this story about the impossibility of simultaneously seeing and experiencing, but it is not the only truth that this myth can communicate. If it were, it would be an allegory.

Instead of presenting the reader with a single message needing to be unlocked, myths instil a sense of longing for something much less tangible

As such, an allegory is like a puzzle that must be solved by the reader to reveal its hidden meaning. Its one-dimensional characters straightforwardly signal the qualities they represent, as in Bunyan’s Mr Despondency, held captive in Doubting Castle by a giant called Despair. Unlike allegory, myths are stories from which numerous truths may be abstracted. Instead of presenting the reader with a single message needing to be unlocked, myths instil a sense of longing for something much less tangible – ‘like a flower whose smell reminds you of something you can’t quite place’. Lewis considered allegory to be a limited medium, since authors can only insert ideas that they already know, whereas a myth is of a higher order, since authors can fill it with ideas of which they are not yet conscious.

Lewis was fascinated by myths from his first encounter with the stories of Asgard and the Norse deities as a young man. As an atheist, one of his key objections to the Christian faith was that it was just another version of the myth of a dying god who is resurrected, similar to those he found in the stories of the Norse god Baldr, whose death was brought about by Loki, the trickster god. Following entreaties by Baldr’s mother, the goddess Frigg, Hel agrees to release him from the underworld, on the condition that everything on earth weeps for him. But Baldr’s return is ultimately blocked by one creature, a giantess, presumed to be Loki in disguise, who refuses to mourn him.

Why was Christianity different to this myth, or others, like the Egyptian account of Osiris or the Classical story of Adonis? It was a lengthy night-time conversation with his friends Hugo Dyson and J.R.R. Tolkien in the grounds of Magdalen College in September 1931 that helped him overcome this objection and embrace Christianity. What Lewis came to recognise is that, when he encountered a god dying and being revived in pagan myths, he found it profoundly moving, suggestive of meanings beyond his grasp. But, when he met a similar concept in the Christian gospels, he was unmoved. What he took from his talk with Tolkien and Dyson was an openness to accepting the Christian story as a myth, with all its mystery and suggestive implications, but with one key difference from the Norse, Egyptian and Classical myths: it really happened. But, by becoming fact, he argued, Christianity did not cease to be a myth: ‘that is the miracle’.

Lewis wrote the Narnia stories to help children like Eustace become open to the possibility of a reality beyond the strictly material world.

In writing the Narnia stories Lewis was engaged in what he and Tolkien called ‘mythopoeia’ – the act of myth-making – communicating Christian truths in ways that would inspire children to grasp something of its mystical and mythical qualities. As he noted in his essay ‘On Stories’, reading about enchanted woods does not make children despise real woods, but instead makes all real woods a little bit enchanted. In The Voyage of the Dawn Treader, the children meet Ramandu, a retired star who is being restored to his former youth so that he can rejoin the great dance in the sky. ‘In our world’, says Eustace Scrubb, ‘a star is a huge ball of flaming gas’. ‘Even in your world, my son, that is not what a star is but only what it is made of’, Ramandu retorts. Eustace, we are told at the beginning of the story, had wasted his time at school reading only books of information about exports and imports, so it is no surprise that he can only comprehend a purely materialist definition. If he’d only read more fairy stories, he might have been able to grasp this reality, as well as being better prepared for his adventure on Dragon Island.

Lewis wrote the Narnia stories to help children like Eustace become open to the possibility of a reality beyond the strictly material world. Since God himself is mythopoeic – after all, isn’t the sky itself a myth? – shouldn’t we therefore be mythopathic, that is, receptive to myths? For Lewis, Christianity offered the marriage of Perfect Myth and Perfect Fact, which should be met not solely by love and obedience, but also by wonder and delight.

Simon Horobin is Professor of English Language & Literature, Magdalen College, Oxford University. He is the author of C.S. Lewis’s Oxford (Bodleian Publishing, 2024) and co-curator of C.S. Lewis: Words and Worlds. The exhibition runs until 11 September 20024, in the Old Library of Magdalen College, Oxford. Check opening times.

Article

Culture

14 March 2024

5 min read

What AI needs to learn about dying and why it will save it

Those programming truthfulness can learn a lot from mortality.

Andrew Steane

Andrew Steane has been Professor of Physics at the University of Oxford since 2002, He is the author of Faithful to Science: The Role of Science in Religion.

An angel of death lays a hand of a humanioid robot that has died amid a data centre

A digital momento mori.

Nick Jones/midjourney.ai

Google got itself into some unusual hot water in recently when its Gemini generative AI software started putting out images that were not just implausible but downright unethical. The CEO Sundar Pichai has taken the situation in hand and I am sure it will improve. But before this episode it was already clear that currently available chat-bots, while impressive, are capable of generating misleading or fantastical responses and in fact they do this a lot. How to manage this?

Let’s use the initials ‘AI’ for artificial intelligence, leaving it open whether or not the term is entirely appropriate for the transformer and large language model (LLM) methods currently available. The problem is that the LLM approach causes chat-bots to generate both reasonable and well-supported statements and images, and also unsupported and fantastical (delusory and factually incorrect) statements and images, and this is done without signalling to the human user any guidance in telling which is which. The LLMs, as developed to date, have not been programmed in such a way as to pay attention to this issue. They are subject to the age-old problem of computer programming: garbage in, garbage out.

If, as a society, we advocate for greater attention to truthfulness in the outputs of AI, then software companies and programmers will try to bring it about. It might involve, for example, greater investment in electronic authentication methods. An image or document will have to have, embedded in its digital code, extra information serving to authenticate it by some agreed and hard-to-forge method. In the 2002 science fiction film Minority Report an example of this was included: the name of a person accused of a ‘pre-crime’ (in the terminology of the film) is inscribed on a wooden ball, so as to use the unique cellular structure of a given piece of hardwood as a form of data substrate that is near impossible to duplicate.

The questions we face with AI thus come close to some of those we face when dealing with one another as humans.

It is clear that a major issue in the future use of AI by humans will be the issue of trust and reasonable belief. On what basis will we be able to trust what AI asserts? If we are unable to check the reasoning process in a result claimed to be rational, how will be able to tell that it was in fact well-reasoned? If we only have an AI-generated output as evidence of something having happened in the past, how will we know whether it is factually correct?

Among the strategies that suggest themselves is the use of several independent AIs. If they are indeed independent and all propose the same answer to some matter of reasoning or of fact, then there is a prima facie case for increasing our degree of trust in the output. This will give rise to the meta-question: how can we tell that a given set of AIs are in fact independent? Perhaps they all were trained on a common faulty data set. Or perhaps they were able to communicate with each other and thus influence each other.

The questions we face with AI thus come close to some of those we face when dealing with one another as humans. We know humans in general are capable of both ignorance and deliberate deception. We manage this by building up degrees of trust based on whether or not people show behaviours that suggest they are trustworthy. This also involves the ability to recognize unique individuals over time, so that a case for trustworthiness can be built up over a sequence of observations. We also need to get a sense of one another's character in more general ways, so that we can tell if someone is showing a change in behaviour that might signal a change in their degree of trustworthiness.

In order to earn our trust, an AI too will have to be able to suffer and, perhaps, to die.

Issues of trust and of reasonable belief are very much grist to the mill of theology. The existing theological literature may have much that can be drawn upon to help us in this area. An item which strikes me as particularly noteworthy is the connection between suffering and loss and earning of trust, and the relation to mortality. In brief, a person you can trust is one who has ventured something of themselves on their pronouncements, such that they have something to lose if they prove to be untrustworthy. In a similar vein, a message which is costly to the messenger may be more valuable than a message which costs the messenger nothing. They have already staked something on their message. This implies they are working all the harder to exert their influence on you, for good or ill. (You will need to know them in other ways in order to determine which of good or ill is their intention.)

Mortality brings this issue of cost to a point of considerable sharpness. A person willing to die on behalf of what they claim certainly invests a lot in their contribution. They earn attention. It is not a guarantee of rationality or factual correctness, but it is a demonstration of commitment to a message. It signals a sense of importance attached to whatever has demanded this ultimate cost. Death becomes a form of bearing witness.

A thought-provoking implication of the above is that in order to earn our trust, an AI too will have to be able to suffer and, perhaps, to die.

In the case of human life, even if making a specific claim does not itself lead directly to one's own death, the very fact that we die lends added weight to all the choices we make and all the actions we take. For, together, they are our message and our contribution to the world, and they cannot be endlessly taken back and replaced. Death will curtail our opportunity to add anything else or qualify what we said before. The things we said and did show what we cared about whether we intended them to or not. This effect of death on the weightiness of our messages to one another might be called the weight of mortality.

In order for this kind of weight to become attached to the claims an AI may make, the coming death has to be clearly seen and understood beforehand by the AI, and the timescale must not be so long that the AI’s death is merely some nebulous idea in the far future. Also, although there may be some hope of new life beyond death it must not be a sure thing, or it must be such that it would be compromised if the AI were to knowingly lie, or fail to make an effort to be truthful. Only thus can the pronouncements of an AI earn the weight of mortality.

For as long as AI is not imbued with mortality and the ability to understand the implications of its own death, it will remain a useful tool as opposed to a valued partner. The AI you can trust is the AI reconciled to its own mortality.