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

Care

Comment

Politics

7 May 2025

4 min read

Assisted dying is not a medical procedure; it is a social one

Another vote, and an age-related amendment, highlight the complex community of care.

Henna Cundill

Henna is a researcher with the Centre for Autism and Theology at the University of Aberdeen.

Graffiti reads 'I miss me' with u crossed out under the 'mem'

Sidd Inban on Unsplash.

Scottish Parliament’s Assisted Dying bill will go to a stage one vote on Tuesday 13th May, with some amendments having been made in response to public and political consultation. This includes the age of eligibility, originally proposed as 16 years. In the new draft of the bill, those requesting assistance to die must be at least 18.

MSPs have been given a free vote on this bill, which means they can follow their consciences. Clearly, amongst those who support it, there is a hope that raising the age threshold will calm the troubled consciences of some who are threatening to oppose. When asked if this age amendment was a response to weakening support, The Times reports that one “seasoned parliamentarian” (unnamed) agreed, and commented:

“The age thing was always there to be traded, a tactical retreat.”

The callousness of this language chills me. Whilst it is well known that politics is more of an art than a science, there are moments when our parliamentarians literally hold matters of life and death in their hands. How can someone speak of such matters as if they are bargaining chips or military manoeuvres? But my discomfort aside, there is a certain truth in what this unnamed strategist says.

When Liam McArthur MSP was first proposed the bill, he already suggested that the age limit would be a point of debate, accepting that there were “persuasive” arguments for raising it to 18. Fortunately, McArthur’s language choices were more appropriate to the subject matter. “The rationale for opting for 16 was because of that being the age of capacity for making medical decisions,” he said, but at the same time he acknowledged that in other countries where similar assisted dying laws are already in operation, the age limit is typically 18.

McArthur correctly observes that at 16 years old young people are considered legally competent to consent to medical procedures without needing the permission of a parent or guardian. But surely there is a difference, at a fundamental level, between consenting to a medical procedure that is designed to improve or extend one’s life and consenting to a medical procedure that will end it?

Viewed philosophically, it would seem to me that Assisted Dying is actually not a medical procedure at all, but a social one. This claim is best illustrated by considering one of the key arguments given for protecting 16- and 17- year-olds from being allowed to make this decision, which is the risk of coercion. The adolescent brain is highly social; therefore, some argue, a young person might be particularly sensitive to the burden that their terminal illness is placing on loved ones. Or worse, socially motivated young people may be particularly vulnerable to pressure from exhausted care givers, applied subtly and behind closed doors.

Whilst 16- and 17- year-olds are considered to have legal capacity, guidance for medical staff already indicates that under 18s should be strongly advised to seek parent or guardian advice before consenting to any decision that would have major consequences. Nothing gets more major than consenting to die, but sadly, some observe, we cannot be sure that a parent or guardian’s advice in that moment will be always in the young person’s best interests. All of this discussion implies that we know we are not asking young people to make just a medical decision that impacts their own body, but a social one that impacts multiple people in their wider networks.

For me, this further raises the question of why 18 is even considered to be a suitable age threshold. If anything, the more ‘adult’ one gets, the more one realises one’s place in the world is part of a complex web of relationships with friends and family, in which one is not the centre. Typically, the more we grow up, the more we respect our parents, because we begin to learn that other people’s care of us has come at a cost to themselves. This is bound to affect how we feel about needing other people’s care in the case of disabling and degenerative illness. Could it even be argued that the risk of feeling socially pressured to end one’s life early actually increases with age? Indeed, there is as much concern about this bill leaving the elderly vulnerable to coercion as there is for young people, not to mention disabled adults. As MSP Pam Duncan-Glancey (a wheelchair-user) observes, “Many people with disabilities feel that they don’t get the right to live, never mind the right to die.”

There is just a fundamental flawed logic to equating Assisted Dying with a medical procedure; one is about the mode of one’s existence in this world, but the other is about the very fact of it. The more we grow, the more we learn that we exist in communities – communities in which sometimes we are the care giver and sometimes we are the cared for. The legalisation of Assisted Dying will impact our communities in ways which cannot be undone, but none of that is accounted for if Assisted Dying is construed as nothing more than a medical choice.

As our parliamentarians prepare to vote, I pray that they really will listen to their consciences. This is one of those moments when our elected leaders literally hold matters of life and death in their hands. Now is not the time for ‘tactical’ moves that might simply sweep the cared-for off of the table, like so many discarded bargaining chips. As MSPs consider making this very fundamental change to the way our communities in Scotland are constituted, they are not debating over the mode of the cared-for’s existence, they are debating their very right to it.