Review
Care
Community
Culture
Film & TV
5 min read

Amandaland's portrayal of falling social standing is spot on

What happens when motherhood is no longer rich, powerful, and terrifying.

Beatrice writes on literature, religion, the arts, and the family. Her published work can be found here

On the sidelines of a pitch a well-dressed mum hands a coat to a sceptical looking mum beside her.

Nobody likes mums. Not really. We talk about our kids all the time, we’re bossy, we’re interfering, we’re no fun. The stereotypes abound. Not even mums like other mums. We should help each other, but we often end up mercilessly judging each other instead. If you work, you’re a cruel, neglectful mother; if you’re a stay-at-home mum, you’re lazy, weak, and probably boring.  

Even worse than being disliked, though, is not being taken seriously. I thought motherhood would bestow a certain level of respect, a kind of admission, from society at large, that if you can keep a human being alive – let alone several – you must be somewhat competent at least. I can now see that’s only the case in older motherhood, once your children are grown up and you can prove to the world that you did, in fact, do a good job of raising them. Before then, while your kids are still loud toddlers or moody teenagers, being a mother is a decidedly low-status affair.  

That’s exactly what Amandaland, the new Motherland spin-off, gets right. In Motherland, the original show, the character of Amanda is a confident, terrifying alpha mum, a modern anti-heroine and a foil to the frazzled, overwhelmed protagonist Julia. As a stay-at-home mum, Amanda holds on to her high social status by a combination of displaying her husband’s wealth and a careful strategy of putting other mothers down at every possible occasion. 

By the end of Motherland, however, Amanda is lost: she opens and very quickly closes a lifestyle shop, she’s about to lose her house in the divorce, and her ex-husband is about to remarry. She’s not quite so terrifying anymore; she’s more human, more fragile. Her insecurities begin to show. 

It’s only in Amandaland, however, that her alpha-mum persona fully breaks down. She’s had to downsize and – gasp – move from Acton to a less affluent part of London; her ex-husband is refusing to pay for their kids’ private school or for her car; she has no career and no prospects. While materially still more privileged than many, in the eyes of society she’s lost any claim to admiration.  

As she meets a host of mums and dads from her kids’ new school after her move, it’s obvious that Amanda is trying to conceal this drastic change. She refers to all the furniture which she’s hording from her old, much bigger house – in her mother’s garage – as ‘curated items from my style archive’. When her mother nudges her to get rid of said ‘curated items’ in the school’s car boot sale, she deflects by declaring, in a suitably dramatic way, ‘I’m so ready to streamline all these investment pieces’. In the next episode she starts showing off, at her kids’ football practice, that ‘this big-shot interiors firm just begged me for a meet at their flagship store’. What she means is that she’s got a job interview at a kitchen and bathroom showroom. Which job she does get, by the way, and proceeds to refer to it for the rest of the show as her ‘collab’.  

I said that nobody likes mums. I should have said, more accurately, that most people don’t find caregivers interesting. 

There’s a reason Amanda speaks in cringeworthy euphemisms half of the time, and it’s not because she delights in being irritating. It’s because she’s feeling the full force of her fall in social status. We can judge her for being shallow enough to care about wealth and appearance so much. But it’s impossible for me not to feel an enormous amount of sympathy for her. I know what it’s like to see someone’s gaze at a social event drift away as you mention that you’re a stay-at-home mum. I know the agonizingly overnice look that often meets you when you say you’ve been trying to get back to work after having kids.  

And to be clear, I’ve been referring to ‘mothers’ throughout, but consciously being perceived as low status is an experience common to all primary caregivers. In Motherland, Kevin, the stay-at-home dad of the group, was often mocked and dismissed as insignificant for looking after his two daughters full time. I said that nobody likes mums. I should have said, more accurately, that most people don’t find caregivers interesting.  

There are two ways to respond to the plain fact that caregiving is seen as low status and low value, and Amanda learns both over the course of the show. The first is to realise we have an innate value that cannot be determined by social approval. We must become comfortable with being sneered at; there’s no way around it. Without spoiling what happens in later episodes, Amanda does grow in virtue by valuing status less and less, eventually rejecting the opportunity to return to wealth and high status for the sake of her family and her own integrity. 

The second way is to find fellowship. The friendships which Amanda forms, especially with the wonderful Anne, also an original Motherland character, are what save her from herself in the end. Anne and the other parents show her that they, at least, don’t care that she’s no longer rich, powerful, and terrifying. They chip away at her armour until she realises that she doesn’t need to be adored in order to be loved.  

We cannot control how people perceive us, but we can control how we respond. At the beginning of the show, Amanda’s response to the challenges of motherhood was to sink into self-absorption. In the end, she’s redeemed by the kindness of her friends. Motherhood will, perhaps, always be a thankless, low status job. But it’s also, and will always be, an irreplaceable one.  

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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.”   

Celebrate our 2nd birthday!

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This is made possible through the generosity of our amazing community of supporters.

If you enjoy Seen & Unseen, would you consider making a gift towards our work?

Do so by joining Behind The Seen. Alongside other benefits, you’ll receive an extra fortnightly email from me sharing my reading and reflections on the ideas that are shaping our times.

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