Article
Attention
Character
Culture
Film & TV
4 min read

Traitors holds a mirror up to this obsession of ours

The attitude that is eroding empathy.
The cast and presenter of a competition TV programme assembled in a montage.
BBC.

“So you’re basically calling me Harold Shipman or something?” 

2025 may have barely begun but BBC One’s The Traitors has already offered a strong contender for TV moment of the year. 

If you’re not familiar with the show – and if you aren’t, where have you been? – a group of strangers head off to a castle in Scotland to earn money through a series of challenges while show host Claudia Winkleman smoulders at the camera. Meanwhile, some competitors are designated ‘Traitors’ and can steal the money at the end of the competition, while the rest – the ‘Faithfuls’ – must unmask the ‘Traitors’, banishing one person each day. In return, the Traitors can ‘murder’ one Faithful a night. 

It's stupid and ridiculous and melodramatic. I love it.  

Something that has struck me this series is the inability of contestants to imagine that people might behave differently to them. Early on, Dr. Kas “Definitely-Not-Harold-Shipman” Ahmed raises a toast to a ‘murdered’ Faithful. “That’s sketchy,” everyone immediately thinks. “I wouldn’t have done that, and I’m a Faithful, so Kas MUST BE A TRAITOR!”  

The group votes to banish him shortly afterwards.  

The certainty with which contestants decide someone is a Traitor based on the most minute and innocuous details is incredible. Oooh, Glenda just coughed at an inopportune moment. Obviously a Traitor. Look at Keith taking the stairs two at a time. It’s like he wants to be caught! 

The ‘Faithfuls’ seem completely unable to imagine people might be different from them. That they might think differently, or act differently. There is, in other words, a complete lack of empathy.  

As the always-absolutely-right-about-everything Brené Brown tells us, sympathy is recognising someone else’s perspective. But empathy is feeling with someone; it is sharing that perspective. And it’s empathy that’s needed for human connection. And it’s empathy that is missing on The Traitors. 

All of this ultimately reminds me of the work of Canadian philosopher Charles Taylor. Taylor is arguably the most influential living philosopher. Much of his work – especially in books like Sources of the Self, and A Secular Age – is concerned with explaining modern western societies, their characteristics, and where those characteristics emerge from.  

Taylor claims that these societies have stopped privileging ‘exteriority’ and have started privileging ‘interiority’ instead. 

What on earth does that mean? 

In 1637, René Descartes says “I think, therefore I am,” and western philosophy never recovers. Descartes is looking for a foundation, a starting point from which he can make sense of himself and the world around him. But this is not easy. What’s to say he’s not hallucinating, or being deceived by a demon, so that the world around him isn’t as it seems? 

What’s the one thing he can be sure of? That he thinks!  

The fact he’s even thinking and doubting his senses tells Descartes that he is someone or something who exists and thinks. That sounds obvious, but it gives Descartes the foundation from which he can make sense of reality.  

As a result of Descartes’ philosophy, we imagine that our very ‘selves’ are located entirely ‘within us’ somehow, with the rest of reality found ‘outside’ ourselves. This is a ‘gap’ of sorts, between us and the world, while the interior self becomes the place where the meaning of our existence is discovered and understood. 

Modern life, Taylor says, therefore instils in us a sense of detachment from everyone and everything else. I have my interior world, you have yours. I can never truly know you, and you can never truly know me.  

I could be the next Harold Shipman for all you know.  

But it wasn’t always like this, Taylor argues. Modernity’s preoccupation with the inner self was preceded by a more outside-centred view of the world.  

In this outside-centred worldview, I and the people around me aren’t simply unknowable black holes of interiority. Instead, we are both parts of a broader created realm. And, by virtue of us both being creatures located within something bigger than either of ourselves, this outside-centred view of the world becomes a point of commonality from which we can get to know each other. 

Shared humility leads to connection, in other words.  

All of this, I think, goes some way to explaining why I’m watching a seemingly lovely doctor having a quasi-breakdown over being misconstrued as a serial killer. The Traitors shows how obsessed we have become with our own interiority. We are inward-looking creatures now. As such, we are often slow to recognise the ways in which our shared place within creation only unites us. 

While a little introspection and self-reflection is vital for healthy human flourishing, out-and-out navel-gazing only hinders our ability to connect with those around us. With a little help from Charles Taylor, The Traitors reminds me to get out of my own head and to see beyond myself. To look at the world around me, and to see the people with whom I share it.  

To see them with empathy, not as unknowable voids of interiority, but as fellow creatures walking a shared journey. 

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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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