Review
Books
Culture
Ethics
Film & TV
4 min read

Small Things Like These: putting the spotlight on backstage goodness

What it means for a film to be good.

Kevin is a social theologian studying ethics and economics.

The gaunt face of a dishevelled man stares into the distance
A ‘stellar’ Cillian Murphy plays Bill Furlong.
Lionsgate.

Small Things Like These is a novella by the Irish writer Claire Keegan. Published in 2021, it compresses a remarkable story into 128 pages. Acclaimed widely by critics and readers, it follows Bill Furlong, a fuel merchant living in the small County Wexford town of New Ross in 1986, as Christmas approaches. While delivering coal to the local convent, Bill makes an alarming discovery. Memories of his childhood begin to press in on him and he finds himself in an existential crisis.  

Like her previous (very short) work, Foster, Small Things Like These is an understated book with a searing moral clarity. And just as Foster was adapted for the screen – in the astonishing Irish-language film The Quiet Girl – a movie version of Small Things Like These is now likely showing at a cinema near you. 

The movie is built around a stellar performance from Cillian Murphy. It would be criminal if his name is not featured among the shortlists when awards season comes round. Many of the film’s most arresting scenes feature close-ups of his face as Bill wrestles with the implications of his discovery and the phantoms of his past. The effect is that the film serves as an almost literal portrait of what it means to be a decent person.  

The story begins with Bill making a delivery to the convent. He sees a mother drop off her screaming daughter to the back door, where she is met and manhandled inside by a nun. The teenager protests passionately, but to no avail. The viewer understands that this girl has “fallen pregnant”, to use the Hiberno-English idiom that was so common in the twentieth century. She has been dispatched by her family to this institution to serve out the months of pregnancy and to remove any shame or taint from their reputation. Bill watches as the girl shouts out for her father, who is entirely absent.  

And, after a tense interaction with an aggressive nun, he goes home to his five girls and his wife, clearly shaken.  

A few days later, unable to sleep, haunted by memories of his own childhood being raised by a single mother, with an absent father, relying on the kindness of a wealthy local landowner, he begins his deliveries before dawn. As he deposits peat briquettes in the coal shed of the convent, he discovers a teenaged girl abandoned in the corner of the tiny, filthy room. She is in deep distress and Bill responds instinctively, wrapping his coat around her shoulders and bringing her inside to the convent.  

While the existence of Magdalene Laundries and Mother and Baby Homes were not a secret in twentieth century Ireland, the exact details of their operations were not widely understood. With these two encounters, so close together, and his own personal biography as the son of a woman who was subject to exactly the same marginalising dynamics, Bill can no longer be satisfied to turn a blind eye to the oppression and alienation endured by those sent for reformation.  

It evokes the ways in which all such systems of oppression are socially constructed and maintained. Otherwise, good people learn to look the other way. 

The film gathers momentum as Bill is forced to confront the way his mother had been treated for “falling pregnant” and the reality experienced by girls the same age as his daughters who were in a similar situation. In the midst of his existential angst, he finds little solace in the no-nonsense pragmatism of his wife who reminds him “there are things you have to ignore” to get on in life. He is taken aside by his local publican, a woman who has similarly scrabbled up from humble origins to establish a thriving business and cautioned to not make trouble for the nuns since “their fingers are in every pie in the town”.  

I will refrain from fully revealing every detail of the film’s plot. But this element of the screenplay – where Claire Keegan along with Enda Walsh – draw out the sense in which the oppressive ecclesial institutions were enabled and even sanctioned by the wider population is exceptionally well done. The film does not pull any punches on the evils that were committed in the name of churches in Ireland. Indeed, if anything, the presentation of the nuns veers too far towards caricatures of pure malevolence. But with surgical precision, it evokes the ways in which all such systems of oppression are socially constructed and maintained. Otherwise, good people learn to look the other way.  

And that is the lasting significance of this film. Toni Morrison has spoken about how it can seem harder to write about goodness than evil. “Evil has a blockbuster audience; goodness lurks backstage.” In Small Things Like This, Claire Keegan introduces us to a hardworking small business owner who treats his staff well, a loving father who seeks to care for his wife, a man who lives down a back street of a provincial town in an overlooked part of a small island on the periphery of Europe. And in this very definitively backstage context, he is presented as heroic in his pursuit of the Good.  

We all fancy ourselves to be the one person who would stand up and oppose systems of oppression if we ever found ourselves enmeshed in them. Cillian Murphy’s depiction of Bill Furlong whispers to us that we likely are enmeshed in just that way and are choosing not to notice. Small Things Like These is a heavy film that somehow liberates. It reminds us that there is, within each of us, this appetite for seeing the Good and bring brave enough to do it. It is worth your time far more than any competing blockbuster.  

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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