Explainer
Creed
Psychology
Trauma
4 min read

Thoughts and prayers: why such words can really count

Cop-out phrase or the key to articulating something more powerful, Henna Cundill dissects the neurological power of a platitude.
A Coast Guard officer gives a press conference while looking grim-faced. Others look on.
A Coast Guard office gives the news of the loss of the Titan submersible crew.

“Our thoughts and prayers are with all those affected...”

We hear that repeated often enough, don’t we? Some public figure is quoted as saying this phrase in the body text (usually about paragraph five) beneath nearly every gut-wrenching news headline. “Thoughts and prayers” are the panacea, the platitude, the words to say when there is nothing that can be said.  

It's easy to deride and dismiss these words, and many do. There is an understandable frustration when public figures serve suffering people with vapidity instead of vim. But perhaps I can make a case for “thoughts and prayers” being more than just a political cop-out? To be sure, these words are not everything, but they are something.  

I love words, that’s why I try to write for living. (Try to, anyway.) I love languages too; I’m one of those annoying people who finds learning new languages pretty easy. Lots of people think they are rubbish at this, but they have missed the secret weapon: repetition. If you’ve the willingness to dig in and repeat vocab lists and word tables over and over again, and then over and over again, and then all over again. And then again. And then again, again… then learning a new language is easy. Repetition is the key, because repetition forges and reinforces new neural pathways in the brain.  

You see, that’s the exciting thing about learning a new language: you can actually feel the incredible plasticity of the human brain in action. It doesn’t have to be a new language, you can mess with the language you already know – I promise that if you look at a car and say the word “bicycle” to yourself 100 times, the next time you see a car, you will likely have to consciously will yourself not to call it a “bicycle”. Go ahead, try it. (Car) bicycle, (car) bicycle, (car) bicycle … and repeat.  

The human brain is constantly linking words and phrases to objects, emotions and perceptions, grouping things together by association. One study showed that participants were quicker to verbalise the word “priest” in response to a photo of a man in a dog collar when they had been shown a picture of the Pope immediately before. This is because the brain stores words in categories of related things, and this language storage system then has the power to shape what we perceive. Due to the association with the Pope, the participants perceived a “priest” and not a “vicar” or a “minister” or even just a “man.” 

Think again about the word ‘bicycle’ – in your mind’s eye do you now also see a car? See, I’ve played a trick on you! If you saw the car, then I’ve gifted you a new (and, sorry, totally useless) neural connection between the word bicycle and the object car. You’ll probably unlearn this one pretty quickly – neural pathways can fade as well as develop. But philosophers have long pondered this strange power of language to create our sense of reality – we develop our perception of what exists based on what we can communicate. Put more simply: people generally pay attention to the objects and perceptions that they have words for, and often ignore the things for which they have no words at all.  

Having something to say about suffering that gives us the ability to pay attention to it, to perceive and acknowledge it.

Of course, there are no words at all for that feeling one gets when reading about a school shooting, or a natural disaster, a mass murder or an accident. Horror is a screaming silence. “Our thoughts and prayers…” are typically the words to say that we have no words, that we are powerless to articulate what’s going on inside when we look upon the dust and ashes. But, if we take the philosophers seriously, and if we acknowledge the plasticity of the human brain, then putting these words around an event creates certain neural links and associations. It is having something to say about suffering that gives us the ability to pay attention to it, to perceive and acknowledge it, even when we would rather ignore and turn away.       

And if you or I actually do think, and if you or I actually do pray for all those affected – especially if we are willing to do so again and again, and then all over again, well then, we have not only created a neural pathway, but we have also reinforced it. We have gifted those suffering people a little place in our minds – perhaps even a permanent corner of existence. They are perceived, seen, and if you have ever been in a place of suffering, you’ll know how much it matters that someone, anyone, pays attention.

Far from helping us to avoid reality, having something to say gives us the means to engage.

Perhaps this is why the Bible repeatedly emphasises the importance of praying for one another, and for the world, and even for one’s enemies? It’s not only that prayer works on God, but that prayer works on us – developing our plastic brains and increasing our capacity to pay attention, to perceive the suffering of others and to allow horror to birth compassion. Far from helping us to avoid reality, having something to say gives us the means to engage.  

I am by no means arguing for platitudes instead of political power. Words are no substitute for tighter gun-control, better public safety, standards in public office and/or an open-hearted, open-walleted, boots-on-the-ground humanitarian response. Words are not a panacea, but neither are they powerless. Philosophers and prophets alike have long pondered the mystery that thoughts and prayers create realities – advances in neuroscience have only served to confirm the wisdom that was already in the room. To think and to pray is to create, to speak words that will bring life and breath out of dust and ashes.  

Article
AI
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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