Article
AI
Culture
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 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. 

Review
Books
Culture
Language
Romance
6 min read

Jane Austen‘s most excellent fan club

The very fine authors who draw inspiration from Jane.

Beatrice writes on literature, religion, the arts, and the family. Her published work can be found here

A book cover with a handwritten title that reads: Jane Austen volume the first
Paolo Chiabrando on Unsplash.

250 years after Jane Austen’s birth, her stories are still an incredibly significant part of our culture. The annual Jane Austen Festival in Bath is gearing up to be bigger than ever; Winchester Cathedral is set to unveil a new statue of Austen later this year; and – perhaps most controversially – Netflix has announced yet another adaptation of Pride and Prejudice.  

Historically, there’s been an overwhelming focus on two elements of Austen’s writing: the Regency setting, and the romance plots. There’s nothing inherently wrong with enjoying these two aspects of her novels. I know I do. But this comes at the risk of underestimating the richness of Austen’s literary legacy. The internet is littered with listicles and blog posts in the format of ‘What to Read Next If You Love Jane Austen.’ Some of these lists will point you to other nineteenth-century literary classics. Others will home in on the romance element, recommending Helen Fielding’s wildly successful Bridget Jones’s Diary, Georgette Heyer’s Regency romances, or even Julia Quinn’s Bridgerton series.  

I’d like to share with you an alternative and more eclectic list of books that I’ve fallen in love with as a lifelong Austen fan. Only one of these books is set in the Regency era; some have a romance as a major part of the plot, others don’t; some share Austen’s realistic writing style, one borders on magical realism. But I think each of these novels or authors brings out a fascinating and often overlooked aspect of Austen’s literary inheritance.  

Anne Brontë’s The Tenant of Wildfell Hall (1848) 

Austen is regularly compared to Charlotte Brontë, who famously wrote Jane Eyre, but I think her younger sister Anne is a fairer comparison. Writing only a few decades after Austen’s death in 1817, Brontë’s style is closer to Austen’s realism than to her own sister Charlotte’s use of gothic tropes and supernatural themes. Like Austen, in The Tenant of Wildfell Hall – as well as in her other novel, Agnes Grey – she focuses on simple language and engaging dialogue. Austen and Brontë also share a deep concern for female education. In several of her novels, notably Pride and Prejudice and Emma, Austen critiques the reality that many young women from middle-class and upper-class families were being taught to value ‘accomplishments’ like dancing and singing over any other form of education, with the aim of attracting a rich husband. Similarly, in The Tenant of Wildfell Hall Brontë’s heroine Helen criticises society’s belief that boys and girls should be educated differently, with boys being taught about the dangers and vices of the world, and girls being kept in ignorance of them. Helen thinks that this attitude makes girls more vulnerable to suffering and disappointment; I suspect Austen would have agreed. 

Barbara Pym’s Excellent Women (1952) 

Now somewhat forgotten, many of Pym’s stories are considered ‘novels of manners’, that is, novels that detail the costumes and values of a particular sphere of society at a particular time in history: in Austen’s case, the middle and upper classes in Regency England; in Pym’s case, the parishioners of a typical Anglican community in post-World War II London. Like Austen, Pym’s writing style is incredibly witty, and both writers favour everyday stories about ordinary people. In fact, Pym took the title Excellent Women from a phrase used by Austen in her unfinished novel Sanditon. These so-called ‘excellent women’ perform seemingly unheroic, small duties for others, the kind that may well go unnoticed, but which are often indispensable in small communities. In Pym’s novel, the first-person narrator, Mildred Lathbury, spends her life between working at a charitable organisation and helping and helping the priest at her local Anglican church. Mildred’s work is often taken for granted, much like the heroine of Austen’s Persuasion, Anne Eliot, whose family are remarkably ungrateful for all the ways in which she eases their burdens. Novels like Pym’s rightly celebrate the quiet bravery of the women who devote their lives to serving others.  

P. D. James’ Death Comes to Pemberley (2011) 

Detective fiction is not the first thing that crosses my mind when I think about Jane Austen. And yet, in a 1998 talk to the Jane Austen Society titled ‘Emma Considered as a Detective Story’, novelist P. D. James made a compelling case that Austen should be considered a precursor to the genre. James argued that a detective novel isn’t defined by the discovery of a murder (nobody dies in Dorothy Sayers’ acclaimed Gaudy Night, for example), but by the unveiling of a mystery. In Emma, Austen scatters clues for us readers along the way but withholds enough information as to keep us – and Emma herself – in the dark. When it’s revealed that Jane Fairfax and Frank Churchill have been lying to hide their secret engagement for the entirety of the novel’s timeline, Emma realises how much she’s been deceived, and it’s this theme of deception that really links Austen’s novel to the detective genre. Yeas after her talk, James ended up writing a detective fiction sequel to a different Austen novel, Pride and Prejudice. Death Comes to Pemberley takes place six years after Elizabeth Bennet and Mr. Darcy’s wedding. A man is found dead on the grounds of Pemberley and Mr. Wickham is the prime suspect. I won’t say any more. It’s my favourite retelling of an Austen novel. 

Kazuo Ishiguro’s The Buried Giant (2015) 

The Buried Giant tells the tale of a Briton couple, Axl and Beatrice, as they set out on a quest to find their long-lost son in a post-Arthurian England where people struggle with the loss of long-term memories. Ishiguro blends a very realistic portrayal of the relationship between a married couple with magical elements such as the presence of a dragon whose breath causes forgetfulness. On paper, this is also not an obvious recommendation, yet memory is a crucial theme for Austen. Persuasion is centred around Anne Eliot’s memories of her broken engagement to Captain Wentworth, which simultaneously bring her happiness and suffering. Mansfield Park’s heroine, Fanny Price, has an equally complex relationship with her past. She often she misses her childhood home, yet part of her is glad that she was taken to be raised by the Bertram family at Mansfield Park, a place which she loves in spite of painful memories of being mistreated by her Aunt Norris. Fanny thinks of memory as the most wonderful faculty of human nature, as it can be at times incredibly ‘retentive’, at others ‘bewildered’ and beyond our control. Ishiguro would surely agree, as that’s precisely what The Buried Giant is about: the ways in which memory can both fail us and yet give us hope, recall suffering and yet brings us closer to those we love. 

 It’s hard to overestimate Austen’s impact on the literary world. And while she’s sparked a revival in literature set in the Regency era, it’s also fascinating to see how she’s influenced writers working in seemingly very different genres from her. Anne Brontë’s novels may be darker in tone, but they show very similar concerns to Austen’s, especially when it comes to virtue and education. Barbara Pym wrote Excellent Women over a century after Austen’s death, yet shared Austen’s interest in highlighting the joys and sorrows of ordinary life. P. D. James found inspiration in Austen despite her own background being in detective fiction. And Ishiguro, despite writing novels ranging from dystopian science fiction to magical realism, has mentioned Austen as an inspiration.  

If you’ve already read all of Austen’s novels, read them again – no one writes quite like her. But once you’ve reread them all, why not try one of these novels next? They may illuminate a side of Austen’s writing that you’ve missed before. 

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