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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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5 min read

When someone makes a claim, ask yourself these questions

How stories, statistics, and studies exploit our biases.

Alex is a professor of finance, and an expert in the use and misuse of data and evidence.

A member of an audience makes a point while gesturing.
On the other hand...
Antenna on Unsplash.

“Check the facts.”  

“Examine the evidence.”  

“Correlation is not causation.”  

We’ve heard these phrases enough times that they should be in our DNA. If true, misinformation would never get out of the starting block. But countless examples abound of misinformation spreading like wildfire. 

This is because our internal, often subconscious, biases cause us to accept incorrect statements at face value. Nobel Laureate Daniel Kahneman refers to our rational, slow thought process – which has mastered the above three phrases – as System 2, and our impulsive, fast thought process – distorted by our biases – as System 1. In the cold light of day, we know that we shouldn’t take claims at face value, but when our System 1 is in overdrive, the red mist of anger clouds our vision. 

Confirmation bias 

One culprit is confirmation bias – the temptation to accept evidence uncritically if it confirms what we’d like to be true, and to reject a claim out of hand if it clashes with our worldview. Importantly, these biases can be subtle; they’re not limited to topics such as immigration or gun control where emotions run high. It’s widely claimed that breastfeeding increases child IQ, even though correlation is not causation because parental factors drive both. But, because many of us would trust natural breastmilk over the artificial formula of a giant corporation, we lap this claim up. 

Confirmation bias is hard to shake. In a study, three neuroscientists took students with liberal political views and hooked them up to a functional magnetic resonance imaging scanner. The researchers read out statements the participants previously said they agreed with, then gave contradictory evidence and measured the students’ brain activity. There was no effect when non-political claims were challenged, but countering political positions triggered their amygdala. That’s the same part of the brain that’s activated when a tiger attacks you, inducing a ‘fight-or-flight’ response. The amygdala drives our System 1, and drowns out the prefrontal cortex which operates our System 2. 

Confirmation bias looms large for issues where we have a pre-existing opinion. But for many topics, we have no prior view. If there’s nothing to confirm, there’s no confirmation bias, so we’d hope we can approach these issues with a clear head. 

Black-and-white thinking 

Unfortunately, another bias can kick in: black-and-white thinking. This bias means that we view the world in binary terms. Something is either always good or always bad, with no shades of grey. 

To pen a bestseller, Atkins didn’t need to be right. He just needed to be extreme. 

The bestselling weight-loss book in history, Dr Atkins’ New Diet Revolution, benefited from this bias. Before Atkins, people may not have had strong views on whether carbs were good or bad. But as long as they think it has to be one or the other, with no middle ground, they’ll latch onto a one-way recommendation. That’s what the Atkins diet did. It had one rule: Avoid all carbs. Not just refined sugar, not just simple carbs, but all carbs. You can decide whether to eat something by looking at the “Carbohydrate” line on the nutrition label, without worrying whether the carbs are complex or simple, natural or processed. This simple rule played into black-and-white thinking and made it easy to follow. 

To pen a bestseller, Atkins didn’t need to be right. He just needed to be extreme. 

Overcoming Our biases 

So, what do we do about it? The first step is to recognize our own biases. If a statement sparks our emotions and we’re raring to share or trash it, or if it’s extreme and gives a one-size-fit-all prescription, we need to proceed with caution. 

The second step is to ask questions, particularly if it’s a claim we’re eager to accept. One is to “consider the opposite”. If a study had reached the opposite conclusion, what holes would you poke in it? Then, ask yourself whether these concerns still apply even though it gives you the results you want. 

Take the plethora of studies claiming that sustainability improves company performance. What if a paper had found that sustainability worsens performance? Sustainability supporters would throw up a host of objections. First, how did the researchers actually measure sustainability? Was it a company’s sustainability claims rather than its actual delivery? Second, how large a sample did they analyse? If it was a handful of firms over just one year, the underperformance could be due to randomness; there’s not enough data to draw strong conclusions. Third, is it causation or just correlation? Perhaps high sustainability doesn’t cause low performance, but something else, such as heavy regulation, drives both. Now that you’ve opened your eyes to potential problems, ask yourselves if they plague the study you’re eager to trumpet. 

A second question is to “consider the authors”. Think about who wrote the study and what their incentives are to make the claim that they did. Many reports are produced by organizations whose goal is advocacy rather than scientific inquiry. Ask “would the authors have published the paper if it had found the opposite result?” — if not, they may have cherry-picked their data or methodology. 

In addition to bias, another key attribute is the authors’ expertise in conducting scientific research. Leading CEOs and investors have substantial experience, and there’s nobody more qualified to write an account of the companies they’ve run or the investments they’ve made. However, some move beyond telling war stories to proclaiming a universal set of rules for success – but without scientific research we don’t know whether these principles work in general. A simple question is “If the same study was written by the same authors, with the same credentials, but found the opposite results, would you still believe it?” 

Today, anyone can make a claim, start a conspiracy theory or post a statistic. If people want it to be true it will go viral. But we have the tools to combat it. We know how to show discernment, ask questions and conduct due diligence if we don’t like a finding. The trick is to tame our biases and exercise the same scrutiny when we see something we’re raring to accept. 

 

This article is adapted from May Contain Lies: How Stories, Statistics, and Studies Exploit Our Biases – and What We Can Do About It
(Penguin Random House, 2024)
Reproduced by kind permission of the author.

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