Snippet
Comment
Sustainability
3 min read

Coal’s demise teaches us to be cautious about progress

Why the extinguishing of coal power should dampen attitudes to what promises to be progress.

Graham is the Director of the Centre for Cultural Witness and a former Bishop of Kensington.

A sky line shows steam rising from a power station's chimney and cooling towers.
Ratcliffe on Soar power station.
Malcolm Neal, CC BY-SA 2.0 , via Wikimedia Commons.

Chimneys. In our 1920s house, we have two of them, rising into the sky like solid brick antennae. Look across most big cities in the UK today and virtually every house still has them. Yet most of them remain idle, monuments of a bygone age. Useful for holding the TV aerial but not much else.  

I thought of chimneys recently when driving up the M1 past Ratcliffe-on-Soar Power Station. On the last day of September this year, it was disconnected from the national grid, as the UK’s last coal-fired power station. The age of coal was over. 

Back in the day, chimneys were busy. In the Industrial Revolution of the 1700s and 1800, coal was used to light towns, power railways, and fuel steam engines. By 1850 we were mining 62 million tonnes of coal every year. Coal was the fuel of the present, driving the technology of the future. Chimneys were a sign of a bright way ahead, churning out smoke from coal-fired factories and bringing safe fires into the hearth and home on those dark wintry northern European nights. Coal was leading us into the sunny uplands of prosperity, comfort and mastery over nature. The power behind the industrial revolution, it was as crucial to the present - and the future - as the smartphone seems to us today. 

It began to dawn on us we had a problem with coal during the Great Smog of London in 1952. A period of cold weather, an unusually high number of domestic coal fires, no wind and an anticyclone which acted like a thick, stifling blanket, all of it kept the soot-filled fumes from escaping into the atmosphere. As a result, a miasma of dense, smelly fog sat for days over London, killing thousands of people. It led to the Clean Air Acts of 1956 and 1968, banning emissions of black smoke and making residents of urban areas and operators of factories convert to smokeless fuel. Margaret Thatcher’s fight with the miners in 1982, leading to the closure of many pits, was another nail in the coffin of coal.  

In October 2001, the Large Combustion Plant Directive aimed to reduce carbon emissions throughout Europe. The UK planned to end coal use by 2025, and we managed to get there a year early. On the domestic level, not many of us use coal or wood fires anymore. Since May 2023, it has been illegal to sell ordinary domestic coal in the UK. Wet wood is banned too. You can burn what’s called ‘dry wood’, with 20% moisture or less, but you can’t go into the woods and bring home random logs you find on a weekend walk any more. Wood burners remain popular, yet even they are suspect, as they produce high levels of CO2.  

Gradually we realised that there was an order and a rhythm to the natural world that we messed with at our peril. There was, as Marilynne Robinson once called a ‘Givenness’ to the world. We simply had to learn to respect that givenness, that order, and live within the limits it placed upon us. And as a result, the chimneys lie idle. 

The demise of coal - and chimneys - teaches us a lesson. Not everything that promises progress is good. Wisdom lies not in pushing forward with whatever technology or new idea offers more choice, more possibility, but knowing what will diminish us and what will give us life. 

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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