Article
Culture
Film & TV
4 min read

The Oscars and ourselves

Beyond the shiny escapism, the awards spotlight all our stories.
A closely cropped group of gold Oscar statues showing mostly their head and shoulders.
Oscars.org

The Oscars are a funny old thing, aren’t they? Every year, I find myself wondering why we care about them so much.  

And sure, we could go for the low-hanging answers: because the show is brimming with glamour, because it’s packed with celebrity, because we may be treated to Ryan Gosling performing his Barbie anthem with Slash. We’ve been trained to gravitate toward such things, and that makes the Oscars the jackpot. And so, while shiny escapism is an undeniable aspect of the enormous hype attached to the Academy Awards, I think it would be unfair to assume that these are the only reasons we are still so drawn to this event.   

If we’re meaning-making creatures, and I believe that we are, then these films mean something.  

I once heard renowned mythologist, Dr Martin Shaw, say that ‘story is the best way to talk about almost anything’, and I wonder if cinema is evidence of how heartily we agree. The stories that are being crafted and told are important, they matter, they actually affect things. Or, at least, the good ones do.   

And this year, when I assess the films that swept up the majority of the prizes at the 96th Academy Awards, I noticed a trend. I noticed that these films are essentially humans talking to humans about what it means to be human.   

In many ways, for better or for worse, we spent 2023 telling stories about ourselves. Allow me to break down what I mean.  

These movies tell us of our own brokenness, our own breaking-things-ness.

Oppenheimer, which won six awards, and Zone of Interest, which was the first British film to win the Oscar for Best International Film – they tell our darkest stories. We know the 20th Century horrors of the dropping of the atomic bomb and the Holocaust, but these two movies introduce us to the faces behind the horror. And, what’s more, they hauntingly remind us that those faces could have been ours. They introduce us, not to monsters that we can keep at a comfortable distance, but to people who sanction, create and do the unimaginable, and then go home for dinner with their children.   

People did these things. People like us. These movies tell us of our own brokenness, our own breaking-things-ness. They remind us that the possibility of evil is not beyond us, it is within us, and that the most dangerous thing one could do is to believe otherwise.  

But then there was the acutely tender The Holdovers, and the deeply profound Past Lives. These movies tell of our gentleness, our fragility, our innate need for intimacy; they remind us that we were designed to be known and loved. They reintroduce us to our deepest and most innate needs - The Holdovers, in particular, tells us of the sacrality of relationship. Its success has me wondering if a story of three lonely people forced to spend Christmas together in an empty boarding school could tell us more about what our souls require than any academic deep dive. 

Yet again, these films seek to tell you the story of you; they aim to be windows into the souls of the characters, while also acting as mirrors through which we can catch glimpses of our own.  

Each movie, in one way or another, was a wrestle with personhood. What makes us, us?

And finally, there were two films, Barbie and Poor Things, which, to criminally over-simplify them, are the stories of two women (or, rather, one toy and one new-born baby in the body of a grown woman… don’t ask) who are working out what it means to be a person. Both Barbie and Bella Baxter walk through worlds that are entirely new to them, but completely familiar to their audiences. They assess the good and the bad of humanity as if utterly detached from it, until they are forced to confront their own place in the worlds that they are slowly coming to terms with. As is written into the script of Poor Things and was read aloud over a montage at the Oscars ceremony,  

‘We must experience everything. Not just the good, but degradation, horror, sadness. This makes us whole Bella, makes us people of substance. Not flighty, untouched children. Then we can know the world.’ 

(Is it me, or is there a little touch of – ‘just take a bite of the apple, Eve’ in there?) 

So, you see my point – this year, in the world of film, humans talked to other humans about what it means to be human. Each movie, in one way or another, was a wrestle with personhood. What makes us, us? Where does our propensity for goodness come from? How are we this clever? And how are we this clueless? Why do we do such evil things? And why do we have such tender needs? What is the difference between the worst and the best that we could possibly be? What and why are we? Or, in the simple words of Billie Eilish’s Oscar-scooping song – what were we made for?  

And listen, perhaps this is always somewhat the case. Maybe every film can be boiled down this way, and maybe the Oscars are just a storm in a particularly glitzy tea cup. And maybe nobody would be talking about it this morning had Slash not been involved.  

But I just have this sense that these movies, and the prizes that they won, mean something. These existential-yearning kind of films, I’m not sure they’re going anywhere anytime soon – if we’re wondering what we were made for in such public places, I’m wondering if it’s because we’re also wondering the same thing in the most personal places.  

If you’re asking me, last night was filled with as many cultural heart-cries as it was prizes.  

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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