It's our mistakes that make us human

What we learn distinguishes us from tech.

Silvianne Aspray

Silvianne Aspray is a theologian and postdoctoral fellow at the University of Cambridge.

A man staring at a laptop grimmaces and holds his hands to his head.

Francisco De Legarreta C. on Unsplash.

The distinction between technology and human beings has become blurry: AI seems to be able to listen, answer our questions, even respond to our feelings. It becomes increasingly easy to confuse machines with humans. In this situation, it is increasingly important to ask: What makes us human, in distinction from machines? There are many answers to this question, but for now I would like to focus on just one aspect of what I think is distinctively human: As human beings, we live and learn in time.

To be human means to be intrinsically temporal. We live in time and are oriented towards a future good. We are learning animals, and our learning is bound up with the taking of time. When we learn to know or to do something, we necessarily make mistakes, and we take practice. But keeping in view something we desire – a future good – we keep going.

Let’s take the example of language. We acquire language in community over time. Toddlers make all sorts of hilarious mistakes when they first try to talk, and it takes them a long time even to get single words right, let alone to try and form sentences. But they keep trying, and they eventually learn. The same goes with love: Knowing how to love our family or our neighbours near and far is not something we are good at instantly. It is not the sort of learning where you absorb a piece of information and then you ‘get’ it. No, we learn it over time, we imitate others, we practice and even when we have learned, in the abstract, what it is to be loving, we keep getting it wrong.

This, too, is part of what it means to be human: to make mistakes. Not the sort of mistakes machines make, when they classify some information wrongly, for instance, but the very human mistake of falling short of your own ideal. Of striving towards something you desire – happiness, in the broadest of terms – and yet falling short, in your actions, of that very goal. But there’s another very human thing right here: Human beings can also change. They – we – can have a change of heart, be transformed, and at some point in time, actually start to do the right thing – even against all the odds. Statistics of past behaviours, do not always correctly predict future outcomes. Part of being human means that we can be transformed.

Transformation sometimes comes suddenly, when an overwhelming, awe-inspiring experience changes somebody’s life as by a bolt of lightning. Much more commonly, though, such transformation takes time. Through taking up small practices, we can form new habits, gradually acquire virtue, and do the right thing more often than not. This is so human: We are anything but perfect. As Christians would say: We have a tendency to entangle ourselves in the mess of sin and guilt. But we also bear the image of the Holy One who made us, and by the grace and favour of that One, we are not forever stuck in the mess. We are redeemed: are given the strength to keep trying, despite the mistakes we make, and given the grace to acquire virtue and become better people over time. All of this to say that being human means to live in time, and to learn in time.

So, this is a real difference between human beings and machines: Human beings can, and do strive toward a future good.

Now compare this to the most complex of machines. We say that AI is able to “learn”. But what does it mean to learn, for AI? Machine learning is usually categorized into supervised learning, unsupervised and self-supervised learning. Supervised learning means that a model is trained for a specific task based on correctly labelled data. For instance, if a model is to predict whether a mammogram image contains a cancerous tumour, it is given many example images which are correctly classed as ‘contains cancer’ or ‘does not contain cancer’. That way, it is “taught” to recognise cancer in unlabelled mammograms. Unsupervised learning is different. Here, the system looks for patterns in the dataset it is given. It clusters and groups data without relying on predefined labels. Self-supervised learning uses both methods: Here, the system uses parts of the data itself as a kind of label – such as, for instance, predicting the upper half of an image from its lower half, or the next word in a given text. This is the predominant paradigm for how contemporary large-scale AI models “learn”.

In each case, AI’s learning is necessarily based on data sets. Learning happens with reference to pre-given data, and in that sense with reference to the past. It may look like such models can consider the future, and have future goals, but only insofar as they have picked up patterns in past data, which they use to predict future patterns – as if the future was nothing but a repetition of the past.

So this is a real difference between human beings and machines: Human beings can, and do strive toward a future good. Machines, by contrast, are always oriented towards the past of the data that was fed to them. Human beings are intrinsically temporal beings, whereas machines are defined by temporality only in a very limited sense: it takes time to upload data, and for the data to be processed, for instance. Time, for machines, is nothing but an extension of the past, whereas for human beings, it is an invitation to and the possibility for being transformed for the sake of a future good. We, human beings, are intrinsically temporal, living in time towards a future good – which machines do not.

In the face of new technologies we need a sharpened sense for the strange and awe-inspiring species that is the human race, and cultivate a new sense of wonder about humanity itself.

Article

Assisted dying

Comment

29 October 2024

4 min read

Assisted Dying logic makes perfect sense but imposes a dreadful dilemma

The case for assisted dying appeals to choice and autonomy, yet not all choices are good. It means vast numbers of people will face a terrible choice as their life nears its end.

Graham Tomlin

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

A black and white picture shows a woman head and shoulders, she is looking up and to the side in an unsure way.

Anastasiya Badun on Unsplash.

Two broad cultural trends have led us to our current debate over assisted suicide.

One is the way consumer choice has come to be seen as the engine of successful economies. Emerging from Adam Smith’s theories of rational choice based on self-interest, given a boost by Reaganomics and Thatcherite thinking in the 1990s, the provision of a range of choice to the consumer is usually argued, with some logic, as key to the growth of western economies and the expansion of freedom.

The other is the notion of individual autonomy. Articulated especially in the past by figures such as John Locke and John Stuart Mill, the idea that individuals should be free to choose to dispose of their property, their time and their talents as they choose, as long as they don’t harm anyone else, has become standard moral fare in the modern world.

Put these two together, and the logic of assisted dying makes perfect sense. What can be wrong with offering someone a choice? Why should the state restrict individual freedom to end your life in the way you might decide to do so?

Yet expanding choice is not always good. Forcing an employee to choose between betraying a colleague or losing their job is not a fair choice. There are some choices that are unfair to impose upon people.

Assisted dying will lead us to this kind of choice. Imagine a woman in her eighties, living in a home which is her main financial asset, and which she hopes to leave to her children when she dies. She contracts Parkinson’s or dementia, which will not kill her for some time, but will severely limit her ability to live independently (and remember about of third of the UK population will need some kind of longer-term care assistance as we get older). At present, her only options are to be cared for by her children, or to sell her house to pay for professional care.

With the assisted suicide bill, a third option comes into play – to end it all early and save the family the hassle - and the money. If the bill passes, numerous elderly people will be faced with an awful dilemma. Do I stay alive, watch the kids’ inheritance disappear in care costs, or land myself on them for years, restricting their freedom by needing to care for me? Or do I call up the man with the tablets to finish it soon? Do I have a moral duty to end it all? At present, that is not a choice any old person has to make. If the bill passes, it will be one faced by numerous elderly, or disabled people across the country.

Even though the idea may have Christian roots, you don’t have to be religious to believe the vulnerable need to be protected.

Of course, supporters of the bill will say that the proposed plan only covers those who will die within six months, suffering from an “inevitably progressive condition which cannot be reversed by treatment.” Yet do we really think it will stay this way? Evidence from most other countries that have taken this route suggests that once the train leaves the station, the journey doesn’t end at the first stop - it usually carries on to the next. And the next. So, in Canada, a bill that initially allowed for something similar was changed within five years to simply requiring the patient to state they lived with an intolerable condition. From this year, there is a proposal on the table that says a doctor’s note saying you have a mental illness is enough. In the same time frame, 1,000 deaths by assisted dying in the first year has become 10,000 within five years, accounting for around 1 in 20 of all deaths in Canada right now. Some MPs in the UK are already arguing for a bill based on ‘unbearable suffering’ as the criterion. Once the train starts, there is no stopping it. The logic of individual choice and personal autonomy leads inexorably in that direction.

Of course, some people face severe pain and distress as they die, and everything within us cries out to relieve their suffering. Yet the question is what kind of society do we want to become? One where we deem some lives worth living and others not? Where we make numerous elderly people feel a burden to their families and feel a responsibility to die? In Oregon, where Assisted Dying is legal, almost half of those who opted for assisted dying cited fear of being a burden as a factor in their decision. Or would we prefer one where the common good is ultimately more important than individual choice, and where to protect the vulnerable, we find other ways to manage end of life pain, putting resources into developing palliative care and supporting families with dependent members – none of which will happen if the option of assisted dying is available.

Even though the idea may have Christian roots, you don’t have to be religious to believe the vulnerable need to be protected. Changing the law might seem a small step. After all, doctors routinely administer higher doses of morphine which alleviate pain and allow a natural death to take its course. Yet that is a humane and compassionate step to take. To confront numerous people, elderly, disabled and sick with a dreadful dilemma is one we should not impose upon them.