Article
Comment
Romance
5 min read

Getting hitched should benefit more than the advantaged

Marriage’s decline impacts outcomes for all.
A bride dressed colourfully stands next to her groom, dressed similarly, as he sits in a wheelchair.
Ellie Cooper on Unsplash.

Of all the dramatic changes to Britain in the last half century, one of the least discussed is the extraordinary decline in marriage.  

The marriage rate has fallen by two-thirds in the last 50 years. It was just above six per cent in 1972 and has now been under two per cent since 2017. 

This remarkable decline has corresponded with a rise in a relatively new relation type: cohabitation. Cohabitation was extremely uncommon before the 1960s, and even by 1986 just 10 per cent of new mothers were cohabitants. It is, however, rapidly becoming the mainstream. Now 35 per cent of babies are born to cohabiting mothers, and the total number of UK cohabiting couples increased from 1.5 to 3.7 million between 1996 and 2022.  

Much of this is due to couples delaying marriage: 84 per cent of religious and 91 per cent of civil marriages are now between couples that already live together, and the average age when first marrying has climbed by 10 years since the early 1970s. But it is also due to many more couples not marrying at all. 

Opinions understandably differ on this social transition away from marriage and towards cohabitation. It is a point of progress worth celebrating that the previous societal shunning of those, especially women, who had children outside of marriage has been left in the past. However, such progress has not been without consequences. Cohabitations are less stable, on average, than marriages. Cohabiting parents are around three times as likely to separate in the first five years of their children’s life as married couples.  

This stability is not simply because wealthier, more highly educated people tend to have stable families and also tend to marry. Studies by World Family Maps and the Marriage Foundation have shown marriage to be a larger factor in family stability than either education or income.  

Nor does the stability come from couples staying together miserably.  Studies undertaken in 2017 and 2024 looked at the outcomes of couples 10 years on from considering their relationships to be ‘on the brink’. In the initial study, while 70 per cent of cohabiting couples had separated in the decade since considering themselves ‘on the brink’, 70 per cent of the married couples had remained together. Perhaps even more crucially, just seven per cent of those married couples that had stayed together were unhappy in their relationship a decade on. The 2024 study found none of the sample of married couples that had stayed together were still unhappy 10 years on. For those that had stayed together, things had improved. 

This family instability that the decline of marriage has caused is also unevenly distributed. Affluent couples – often those most likely to criticise the concept of marriage – are much more likely to marry than disadvantaged ones.  

Looking at socioeconomic groups, seven in ten mothers from the most advantaged group are married, while just a third of those from the two most disadvantaged groups are. The effect is geographic, too. Institute for Fiscal Studies research has found parents having children are more likely to be married if they are living in better educated areas. For the advantaged, it is compassionately affirmational to suggest that every relationship is equal, even though the advantaged themselves choose the most secure option of marriage: a hypocrisy only tolerated due to the potent fear of seeming judgemental. 

The consequence of this is deepening inequality: disadvantaged families are rendered more likely to breakdown, while children from affluent backgrounds are disproportionately likely to enjoy the ‘the two-parent privilege’, the substantial emotional and developmental advantages of growing up in a stable home. Melissa Kearney coined the phrase, and her evidence shows how children grow up, on average, to have better educational outcomes, better emotional and physical wellbeing, and higher incomes if they are raised in two-parent homes. 

Stable families are foundational to a stable society, and marriage is crucial to stable families.

So, why are marriage rates so much higher among wealthier couples than poorer ones, and why is this gap growing? 

We can isolate three reasons in particular, each more solvable than the last.  

Most challenging is the feedback loop effect: people whose parents, role-models, and friends have not married are unlikely to do so themselves. The demographic trend compounds itself.  

Second, and easily addressable if only the will was there, is the public messaging effect: politicians – and to some extent celebrities – have consistently told the public that marriage is unimportant. In 2017, Marriage Foundation research found that it had been a decade since a cabinet member had discussed marriage in a speech. This has hardly changed in the years since. In 2024, the only major party whose manifesto even mentioned marriage was Reform; even then the focus in the relevant section seemed to be less on marriage and more on getting ‘people trapped on benefits back into the workplace’. 

Third is the cost of weddings. A quick flick through top wedding magazines suggests that the average wedding costs upwards of £20,000. Survey evidence from both Marriage Foundation and the Thriving Center of Psychology have found that most young people view weddings as unrealistically expensive. 

This financial problem is solvable: much of the costs relate to venue hire. Unless they are having a religious marriage, a couple will need to find a venue that has gone through the bureaucratic process of becoming an ‘approved premises’. The cheapest of these are register offices which, including all expenses, still cost about £500. 

This is eminently mendable. The Law Commission proposal to reorganise wedding law around the officiant, not the venue, opens the door for a future of more affordable weddings by removing the regulatory barrier. It will also bring the law in line with that of other home nations. 

This proposal will not work by itself, though, it will need to be supported by creativity in wedding planning.  

Wedding costs can be substantially reduced by taking a DIY approach. Food, drinks, and decorations can often be coordinated amongst enthusiastic (and appropriately competent!) guests.  

Booze free weddings are a growing phenomenon, and especially good for weddings with children.  

Such ‘group-effort’ approaches often have a unique feel thanks to the high participation of guests, and people are more likely to remember events that they feel a sense of ownership of, having helped make them happen. 

Alongside this is a recommendation by the Centre for Social Justice. It proposes subsidising the necessary statutory fees for the poorest couples, up to £550 per couple. An inexpensive and hugely beneficial adjustment to improve wedding accessibility for the least fortunate.  

Stable families are foundational to a stable society, and marriage is crucial to stable families; perhaps it is time for all of us to make tying the knot easier.  

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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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