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 - Artificial Intelligence
Attention
Culture
5 min read

Will AI’s attentions amplify or suffocate us?

Keeping attention on the right things has always been a problem.

Mark is a research mathematician who writes on ethics, human identity and the nature of intelligence.

A cute-looking robot with big eyes stares up at the viewer.
Robots - always cuter than AI.
Alex Knight on Unsplash.

Taking inspiration from human attention has made AI vastly more powerful. Can this focus our minds on why attention really matters? 

Artificial intelligence has been developing at a dizzying rate. Chatbots like ChatGPT and Copilot can automate everyday tasks and can effortlessly summarise information. Photorealistic images and videos can be generated from a couple of words and medical AI promises to revolutionise both drug discovery and healthcare. The technology (or at least the hype around it) gives an impression of boundless acceleration. 

So far, 2025 has been the year AI has become a real big-ticket political item. The new Trump administration has promised half a trillion dollars for AI infrastructure and UK prime minister Keir Starmer plans to ‘turbocharge’ AI in the UK. Predictions of our future with this new technology range from doom-laden apocalypse to techno-utopian superabundance. The only certainty is that it will lead to dramatic personal and social change. 

This technological impact feels even more dramatic given the relative simplicity of its components. Huge volumes of text, image and videos are converted into vast arrays of numbers. These grids are then pushed through repeated processes of addition, multiplication and comparison. As more data is fed into this process, the numbers (or weights) in the system are updated and the AI ‘learns’ from the data. With enough data, meaningful relationships between words are internalised and the model becomes capable of generating useful answers to questions. 

So why have these algorithms become so much more powerful over the past few years? One major driver has been to take inspiration from human attention. An ‘attention mechanism’ allows very distant parts of texts or images to be associated together. This means that when processing a passage of conversation in a novel, the system is able to take cues on the mood of the characters from earlier in the chapter. This ability to attend to the broader context of the text has allowed the success of the current wave of ‘large language models’ or ‘generative AI’. In fact, these models with the technical name ‘Transformer’ were developed by removing other features and concentrating only on the attention mechanisms. This was first published in the memorably named ‘Attention is All You Need’ paper written by scientists working at Google in 2017. 

If you’re wondering whether this machine replication of human attention has much to do with the real thing, you might be right to be sceptical. That said, this attention-imitating technology has profound effects on how we attend to the world. On the one hand, it has shown the ability to focus and amplify our attention, but on the other, to distract and suffocate it. 

Attention is a moral act, directed towards care for others.

A radiologist acts with professional care for her patients. Armed with a lifetime of knowledge and expertise, she diligently checks scans for evidence of malignant tumours. Using new AI tools can amplify her expertise and attention. These can automatically detect suspicious patterns in the image including very fine detail that a human eye could miss. These additional pairs of eyes can free her professional attention to other aspects of the scan or other aspects of the job. 

Meanwhile, a government acts with obligations to keep its spending down. It decides to automate welfare claim handling using a “state of the art” AI system. The system flags more claimants as being overpaid than the human employees used to. The politicians and senior bureaucrats congratulate themselves on the system’s efficiency and they resolve to extend it to other types of payments. Meanwhile, hundreds of thousands are being forced to pay non-existent debts. With echoes of the British Post Office Horizon Scandal, the 2017-2020 the Australian Robo-debt scandal was due to flaws in the algorithm used to calculate the debts. To have a properly functioning welfare safety net, there needs to be public scrutiny, and a misplaced deference to machines and algorithms suffocated the attention that was needed.   

These examples illustrate the interplay between AI and our attention, but they also show that human attention has a broader meaning than just being the efficient channelling of information. In both cases, attention is a moral act, directed towards care for others. There are many other ways algorithms interact with our attention – how social media is optimised to keep us scrolling, how chatbots are being touted as a solution to loneliness among the elderly, but also how translation apps help break language barriers. 

Algorithms are not the first thing to get in the way of our attention, and keeping our attention on the right things has always been a problem. One of the best stories about attention and noticing other people is Jesus’ parable of the Good Samaritan. A man lies badly beaten on the side of the road after a robbery. Several respectable people walk past without attending to the man. A stranger stops. His people and the injured man’s people are bitter enemies. Despite this, he generously attends to the wounded stranger. He risks the danger of stopping – perhaps the injured man will attack him? He then tends the man’s wounds and uses his money to pay for an indefinite stay in a hotel. 

This is the true model of attention. Risky, loving “noticing” which is action as much as intellect. A model of attention better than even the best neuroscientist or programmer could come up with, one modelled by God himself. In this story, the stranger, the Good Samaritan, is Jesus, and we all sit wounded and in need of attention. 

But not only this, we are born to imitate the Good Samaritan’s attention to others. Just as we can receive God’s love, we can also attend to the needs of others. This mirrors our relationship to artificial intelligence, just as our AI toys are conduits of our attention, we can be conduits of God’s perfect loving attention. This is what our attention is really for, and if we remember this while being prudent about the dangers of technology, then we might succeed in elevating our attention-inspired tools to make AI an amplifier of real attention. 

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