Article
Assisted dying
Comment
Culture
Politics
5 min read

The assisted dying debate revealed the real role of Parliament

MPs from areas where people are vulnerable and at risk were more sensitive to the dangers.

Mehmet Ciftci has a PhD in political theology from the University of Oxford. His research focuses on bioethics, faith and politics.

An MP stands and speaks in a parliamentary debate.
MP Diane Abbott speaks in the debate.
Parliament TV.

What would be the effect of allowing assisted suicide for those ‘people who lack agency, the people who know what it is to be excluded from power and to have decisions made for them’, asked Danny Kruger MP, as he wrapped up his speech? ‘What are the safeguards for them? Let me tell the House: we are the safeguard—this place; this Parliament; you and me. We are the people who protect the most vulnerable in society from harm, yet we stand on the brink of abandoning that role.’  

His words capture an important aspect of Friday’s debate: what is the point of Parliament? Do MPs meet to turn public opinion polls into policies? If the majority are in favour of something, do MPs have nothing left to do but to follow the public and sort out the fine details? We might instinctively say ‘Yes!’ It seems right and democratic to treat those whom we elect as people we select and send to do our bidding. And the polls do seem to show the majority of people supporting assisted suicide, at least in principle – although there are good reasons to be sceptical about those figures and about the conclusions drawn from them.   

But there are numerous times when the majority are known to be in favour of something but politicians refuse to endorse it. Polls repeatedly show that a majority are in favour of reintroducing the death penalty. Why might it be right for MPs sometimes to ignore what the purported majority thinks and to use their own judgement?  

Because Parliament is not just a debating chamber.  

An older way of referring to it was to call it the ‘High Court of Parliament’ because ‘parliament, classically, was where individuals could seek the redress of grievances through their representatives,’ as law lecturer Dr Robert Craig writes. It performed its function admirably in response to the Horizon scandal: a legitimate grievance was brought to its attention, and it responded to redress the wrongs done to the sub-postmasters by passing a law to ‘overturn a series of judgments that could only have been obtained, and were only obtained, by a toxic, captured and wilfully blind corporate culture’.   

Friday’s debate featured many MPs who understood what they were there to do. They acknowledged the ‘terrible plight of the people who are begging us for this new law’ as Danny Kruger said. But they also spoke up for those who were in danger of being harmed and wronged by the bill: the disabled and the dying, and all the vulnerable who were not there to speak on their own behalf.  

Many echoed the concerns expressed by Diane Abbott about coercion: ‘Robust safeguards for the sick and dying are vital to protect them from predatory relatives, to protect them from the state and, above all, to protect them from themselves. There will be those who say to themselves that they do not want to be a burden. …  Others will worry about assets they had hoped to leave for their grandchildren being eroded by the cost of care. There will even be a handful who will think they should not be taking up a hospital bed.’ And evidence of coercion is hard to find and trace: ‘Coercion in the family context can be about not what you say but what you do not say—the long, meaningful pause.’  

An analysis shared on X by law lecturer Philip Murray found an association between the level of deprivation in a constituency and how likely a Labour MP was to vote against the bill. He also shared figures showing that 2/3 of MPs from ethnic minorities voted against it. In other words, MPs from areas where people are vulnerable and at risk were more sensitive to the dangers of helping people to kill themselves.  

The second reading of the bill on Friday was a crucial moment for them to decide whether the bill would fix an injustice or whether it would itself cause harm.

But it seems that many MPs did not appreciate what the debate was about or what they had gathered to do. Layla Moran MP said: ‘The media are asking all of us, “Are you for or against the Bill?”, but I urge hon. Members to think about the question differently. The question I will be answering today is, “Do I want to keep talking about the issues in the Bill?”’ But James Cleverly MP intervened: “she is misrepresenting what we are doing at this point. We are speaking about the specifics of this Bill: this is not a general debate or a theoretical discussion, but about the specifics of the Bill.” He was right to be impatient. Unlike the Oxford Union, the vote has consequences. Parliamentarians are not there merely to debate. As the term ‘High Court of Parliament’ suggests, when MPs (either on their own initiative or as a government) propose bills, what they are often doing is conveying a plea to redress some grievance, and their debates are to decide whether to respond by making laws to grant justice to the wronged.  

The second reading of the bill on Friday was a crucial moment for them to decide whether the bill would fix an injustice or whether it would itself cause harm, because the scrutiny that the bill will undergo in the following stages is not likely to be as rigorous as with government bills. As a Private Member’s Bill, the assisted dying proposal is free to be scrutinised by a committee selected by the MP who has proposed the bill, i.e. Kim Leadbeater. When the bill reaches the stage for a final vote in the Commons at the third reading, no further amendments can be made and the time for debate is likely to be short.   

It is rare but bills are sometimes defeated at the third reading. With eighteen abstentions on Friday and at least thirty-six MPs claiming they might change their minds later, there is still hope.  

Each sitting of the Commons begins every day with a prayer by the Speaker’s Chaplain, who prays that MPs ‘may they never lead the nation wrongly through love of power, desire to please, or unworthy ideals but laying aside all private interests and prejudices, keep in mind their responsibility to seek to improve the condition of all mankind.’  

We can only hope and pray that at their next opportunity, MP will consider this bill in light of their responsibilities as the country’s High Court, charged with protecting the most vulnerable in society from harm. 

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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