Article
AI - Artificial Intelligence
Creed
Wisdom
6 min read

Forget AI: I want a computer that says ‘no’

Chatbots only tell us what we want to hear. If we genuinely want to grow, we need to be OK with offence

Paul is a pioneer minister, writer and researcher based in Poole, Dorset.

A person hold their phone on their desk, a think bubble from it says 'no'.
Nick Jones/Midjourney.ai.

It is three years since the public release of Open AI’s ChatGPT. In those early months, this new technology felt apocalyptic. There was excitement, yes – but also genuine concern that ChatGPT, and other AI bots like it, had been released on an unsuspecting public with little assessment or reflection on the unintended consequences they might have the potential to make. In March 2023, 1,300 experts signed an open letter calling for a six month pause in AI labs training of the most advanced systems arguing that they represent an ‘existential risk’ to humanity. In the same month Time magazine published an article by a leading AI researcher which went further, saying that the risks presented by AI had been underplayed. The article visualised a civilisation in which AI had liberated itself from computers to dominate ‘a world of creatures, that are, from its perspective, very stupid and very slow.’ 

But then we all started running our essays through it, creating emails, and generating the kind of boring documentation demanded by the modern world. AI is now part of life. We can no more avoid it than we can avoid the internet. The genie is well and truly out of the bottle.  

I will confess at this point to having distinctly Luddite tendencies when it comes to technology. I read Wendell Berry’s famous essay ‘Why I will not buy a computer’ and hungered after the agrarian, writerly world he appeared to inhabit; all kitchen tables, musty bookshelves, sharpened pencils and blank pieces of paper. Certainly, Berry is on to something. Technology promises much, delivers some, but leaves a large bill on the doormat. Something is lost, which for Berry included the kind of attention that writing by hand provides for deep, reflective work.  

This is the paradox of technology – it gives and takes away. What is required of us as a society is to take the time to discern the balance of this equation. On the other side of the equation from those heralding the analytical speed and power of AI are those deeply concerned for ways in which our humanity is threatened by its ubiquity. 

In Thailand, where clairvoyancy is big business, fortune tellers are reportedly seeing their market disrupted by AI as a growing number of people turn to chat bots to give them insights into their future instead.  

A friend of mine uses an AI chatbot to discuss his feelings and dilemmas. The way he described his relationship with AI was not unlike that of a spiritual director or mentor.  

There are also examples of deeply concerning incidents where chat bots have reportedly encouraged and affirmed a person’s decision to take their own life. Adam took his own life in April this year. His parents have since filed a lawsuit against OpenAI after discovering that ChatGPT had discouraged Adam from seeking help from them and had even offered to help him write a suicide note. Such stories raise the critical question of whether it is life-giving and humane for people to develop relationships of dependence and significance with a machine. AI chat bots are highly powerful tools masquerading behind the visage of human personality. They are, one could argue, sophisticated clairvoyants mining the vast landscape of the internet, data laid down in the past, and presenting what they extract as information and advice. Such an intelligence is undoubtedly game changing for diagnosing diseases, when the pace of medical research advances faster than any GP can cope with. But is it the kind of intelligence we need for the deeper work of our intimate selves, the soul-work of life? 

Of course, AI assistants are more than just a highly advanced search engines. They get better at predicting what we want to know. Chatbots essentially learn to please their users. They become our sycophantic friends, giving us insights from their vast store of available knowledge, but only ever along the grain of our desires and needs. Is it any wonder people form such positive relationships with them? They are forever telling us what we want to hear.  

Or at least what we think we want to hear. Because any truly loving relationship should have the capacity and freedom to include saying things which the other does not want to hear. Relationships of true worth are ones which take the risk of surprising the other with offence in order to move toward deeper life. This is where user’s experience suggests AI is not proficient. Indeed, it is an area I suggest chatbots are not capable of being proficient in. To appreciate this, we need to explore a little of the philosophy of knowledge generation.  

Most of us probably recognise the concepts of deduction and induction as modes of thought. Deduction is the application of a predetermined rule (‘A always means B…’) to a given experience which then confidently predicts an outcome (‘therefore C’). Induction is the inference of a rule from series of varying (but similar) experiences (‘look at all these slightly different C’s – it must mean that A always means B’). However, the nineteenth century philosopher CS Pierce described a third mode of thought that he called abduction.  

Abduction works by offering a provisional explanatory context to a surprising experience or piece of information. It postulates, often very creatively and imaginatively, a hypothesis, or way of seeing things, that offers to make sense of new experience. The distinctives of abduction include intuition, imagination, even spiritual insight in the working towards a deeper understanding of things. Abductive reasoning for example includes the kind of ‘eureka!’ moment of explanation which points to a deeper intelligence, a deeper connectivity in all things that feels out of reach to the human mind but which we grasp at with imaginative and often metaphorical leaps.  

The distinctive thing about abductive reasoning, as far as AI chatbots are concerned, lies in the fact that it works by introducing an idea that isn’t contained within the existing data and which offers an explanation that the data would not otherwise have. The ‘wisdom’ of chatbots on the other hand is really only a very sophisticated synthesis of existing data, shaped by a desire to offer knowledge that pleases its end user. It lacks the imaginative insight, the intuitive perspective that might confront, challenge, but ultimately be for our benefit. 

If we want to grow in the understanding of ourselves, if we genuinely want to do soul-work, we need to be open to the surprise of offence; the disruption of challenge; the insight from elsewhere; the pain of having to reimagine our perspective. The Christian tradition sometimes calls this wisdom prophecy. It might also be a way of understanding what St Paul meant by the ‘sword of the Spirit’. It is that voice, that insight of deep wisdom, which doesn’t sooth but often smarts, but which we come to appreciate in time as a word of life. Such wisdom may be conveyed by a human person, a prophet. And the Old Testament’s stories suggests that its delivery is not without costs to the prophet, and never without relationship. A prophet speaks as one alongside in community, sharing something of the same pain, the same confusion. Ultimately such wisdom is understood to be drawn from divine wisdom, God speaking in the midst of humanity   

You don’t get that from a chatbot, you get that from person-to-person relationships. I do have the computer (sorry Wendell!), but I will do my soul-work with fellow humans. And I will not be using an AI assistant. 

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Article
AI - Artificial Intelligence
Culture
Generosity
Psychology
Virtues
5 min read

AI will never codify the unruly instructions that make us human

The many exceptions to the rules are what make us human.
A desperate man wearing 18th century clothes holds candlesticks
Jean Valjean and the candlesticks, in Les Misérables.

On average, students with surnames beginning in the letters A-E get higher grades than those who come later in the alphabet. Good looking people get more favourable divorce settlements through the courts, and higher payouts for damages. Tall people are more likely to get promoted than their shorter colleagues, and judges give out harsher sentences just before lunch. It is clear that human judgement is problematically biased – sometimes with significant consequences. 

But imagine you were on the receiving end of such treatment, and wanted to appeal your overly harsh sentence, your unfair court settlement or your punitive essay grade: is Artificial Intelligence the answer? Is AI intelligent enough to review the evidence, consider the rules, ignore human vagaries, and issue an impartial, more sophisticated outcome?  

In many cases, the short answer is yes. Conveniently, AI can review 50 CVs, conduct 50 “chatbot” style interviews, and identify which candidates best fit the criteria for promotion. But is the short and convenient answer always what we want? In their recent publication, As If Human: Ethics and Artificial Intelligence, Nigel Shadbolt and Roger Hampson discuss research which shows that, if wrongly condemned to be shot by a military court but given one last appeal, most people would prefer to appeal in person to a human judge than have the facts of their case reviewed by an AI computer. Likewise, terminally ill patients indicate a preference for doctor’s opinions over computer calculations on when to withdraw life sustaining treatment, even though a computer has a higher predictive power to judge when someone’s life might be coming to an end. This preference may seem counterintuitive, but apparently the cold impartiality—and at times, the impenetrability—of machine logic might work for promotions, but fails to satisfy the desire for human dignity when it comes to matters of life and death.  

In addition, Shadbolt and Hampson make the point that AI is actually much less intelligent than many of us tend to think. An AI machine can be instructed to apply certain rules to decision making and can apply those rules even in quite complex situations, but the determination of those rules can only happen in one of two ways: either the rules must be invented or predetermined by whoever programmes the machine, or the rules must be observable to a “Large Language Model” AI when it scrapes the internet to observe common and typical aspects of human behaviour.  

The former option, deciding the rules in advance, is by no means straightforward. Humans abide by a complex web of intersecting ethical codes, often slipping seamlessly between utilitarianism (what achieves the most amount of good for the most amount of people?) virtue ethics (what makes me a good person?) and theological or deontological ideas (what does God or wider society expect me to do?) This complexity, as Shadbolt and Hampson observe, means that: 

“Contemporary intellectual discourse has not even the beginnings of an agreed universal basis for notions of good and evil, or right and wrong.”  

The solution might be option two – to ask AI to do a data scrape of human behaviour and use its superior processing power to determine if there actually is some sort of universal basis to our ethical codes, perhaps one that humanity hasn’t noticed yet. For example, you might instruct a large language model AI to find 1,000,000 instances of a particular pro-social act, such as generous giving, and from that to determine a universal set of rules for what counts as generosity. This is an experiment that has not yet been done, probably because it is unlikely to yield satisfactory results. After all, what is real generosity? Isn’t the truly generous person one who makes a generous gesture even when it is not socially appropriate to do so? The rule of real generosity is that it breaks the rules.  

Generosity is not the only human virtue which defies being codified – mercy falls at exactly the same hurdle. AI can never learn to be merciful, because showing mercy involves breaking a rule without having a different rule or sufficient cause to tell it to do so. Stealing is wrong, this is a rule we almost all learn from childhood. But in the famous opening to Les Misérables, Jean Valjean, a destitute convict, steals some silverware from Bishop Myriel who has provided him with hospitality. Valjean is soon caught by the police and faces a lifetime of imprisonment and forced labour for his crime. Yet the Bishop shows him mercy, falsely informing the police that the silverware was a gift and even adding two further candlesticks to the swag. Stealing is, objectively, still wrong, but the rule is temporarily suspended, or superseded, by the bishop’s wholly unruly act of mercy.   

Teaching his followers one day, Jesus stunned the crowd with a catalogue of unruly instructions. He said, “Give to everyone who asks of you,” and “Love your enemies” and “Do good to those who hate you.” The Gospel writers record that the crowd were amazed, astonished, even panicked! These were rules that challenged many assumptions about the “right” way to live – many of the social and religious “rules” of the day. And Jesus modelled this unruly way of life too – actively healing people on the designated day of rest, dining with social outcasts and having contact with those who had “unclean” illnesses such as leprosy. Overall, the message of Jesus was loud and clear, people matter more than rules.  

AI will never understand this, because to an AI people don’t actually exist, only rules exist. Rules can be programmed in manually or extracted from a data scrape, and one rule can be superseded by another rule, but beyond that a rule can never just be illogically or irrationally broken by a machine. Put more simply, AI can show us in a simplistic way what fairness ought to look like and can protect a judge from being punitive just because they are a bit hungry. There are many positive applications to the use of AI in overcoming humanity’s unconscious and illogical biases. But at the end of the day, only a human can look Jean Valjean in the eye and say, “Here, take these candlesticks too.”   

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This is made possible through the generosity of our amazing community of supporters.

If you enjoy Seen & Unseen, would you consider making a gift towards our work?

Do so by joining Behind The Seen. Alongside other benefits, you’ll receive an extra fortnightly email from me sharing my reading and reflections on the ideas that are shaping our times.

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