Article
AI
Comment
4 min read

It's our mistakes that make us human

What we learn distinguishes us from tech.

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
Attention
Creed
Education
Psychology
6 min read

We miss so much when we only see what we are looking for

Explaining why we don't see the unseen - with the help of a gorilla.
A blurred image of a blindfolded man.
Manuel Bonadeo on Unsplash.

In a thriving Pentecostal Church on an English city street, a room full of worshippers are singing, clapping, dancing and throwing their hands in the air. The preacher cries “Come, Holy Spirit!” and there are cries of “Amen!” and “Yes Lord!” One person has tears on their cheeks.  

A few doors down, a few dozen Anglicans also gather. Heads bent over their liturgy books, there is a hum of responses and an air of reverence. “Give us the joy of your saving help: and sustain us with your life-giving Spirit.” The altar candles flicker as the community settles itself into pews. The Holy Spirit is no less present to these worshippers, although they respond in a completely different way.  

Both churches share one creed, in which they commit to their belief in God as the source of all things, seen and unseen. Whilst Pentecostal theologies tend to focus on the observable and unpredictable signs of the Spirit at work, many Anglicans would describe the Spirit in terms of an inner experience, perhaps one that is cognitive rather than physical. But either way, Christians share one belief – that God is present in the world, and we call that the Holy Spirit.  

However, there are also hundreds of people who walk past both of these churches, week by week, who would never dream of setting foot inside. Many of them will think that anyone who believes in God is deluded or deceived. Such rationalist thinkers often have a strongly monist view of the world, in which everything, even mysterious things such as human consciousness and perception of non-physical entities, must have a physical or biological basis. As Ebenezer Scrooge says to the apparent ghost of Marley in Charles Dickens’ book, A Christmas Carol, “You may be an undigested bit of beef, a blot of mustard, a crumb of cheese, a fragment of an underdone potato. There's more gravy than of grave about you, whatever you are!” 

It is almost impossible to convince someone who hasn’t had a first first-hand experience of God that anything like the Holy Spirit exists. Many nay-sayers, I suspect, quietly (or maybe not so quietly) believe that their unbelief is because they are more rational and maybe even more intelligent than those who get excited by such things. But there is another possible explanation for why some people apparently cannot, or will not, see the unseen.  

The British education system is heavily orientated towards STEM. Even when more creative subjects such as literature find their way into the syllabus, they are often studied in a rather dry and analytical way. Notwithstanding the efforts of the occasional maverick teacher, I recall much time spent learning how to identify the iambic pentameter of Shakespeare, and little (if any) time learning to articulate how his sonnets made me feel. Such a system turns out good scientists, but it may be that in doing so it trains our young people out of being able to perceive a whole raft of things which are arguably just as important to human flourishing.  

The world around us contains significantly more sensory input than our minds can process, so we simply don’t pay attention to most of it. 

A “selective attention test” can quickly prove this point. I did one recently with a room full of psychology undergraduates, almost all of whom had identified as monists. “Since you guys are the brightest and the best,” I simpered “let’s do a little intelligence test. Apparently only five per cent of the general population get the answer right to this puzzle, but in this room, I expect the success rate will be a little higher…”  

Having primed them by flattering their egos, I proceeded to show them a video called “The Monkey Business Illusion”, designed in 2009 by scientists Christopher Chabris and Daniel Simons. During the short film, a group of people pass basket balls to each other, and viewers are asked to count how many times the players wearing white shirts pass the ball. It seems simple enough, and when the film ended, I asked the students how many counted the right number of passes. Almost every hand in the room went up. No surprises there.  

Then I asked the more important question – who saw the gorilla? There was a smattering of laughter, and this time only about half of the hands went up. Meanwhile, the other half of my students were looking around at their peers, utterly confused… 

But it was true. In “The Monkey Business Illusion”, a person in a 6ft gorilla costume walks right across the middle of the scene, weaving through the players in the game. However, because most viewers are intently focussed on watching the players in white, they simply don’t perceive it. You can try this for yourself - the video I’m talking about can be found easily on YouTube, and if you follow the search term “selective attention test” there are many others like it.  

The material point is that the world around us contains significantly more sensory input than our minds can process, so we simply don’t pay attention to most of it. If you pause for a moment right now, you might notice that there is the hum of a heater in your room, or the noise of traffic outside, or the smell of an air freshener, or that a piece of your clothing that is too tight – things you were simply not aware of until I pointed them out. It’s common that we don’t perceive things until something else makes us think that they are important. If someone tells you that your house might have structural damage, you will suddenly start to notice every creak that comes from your walls and ceilings, even though those creaks have probably been happening for years.  

As social beings, we can be easily conditioned into paying attention to certain things and ignoring others. If I tell a group of students that intelligent people are highly attentive to the players in white shirts, I increase the likelihood that they simply will not notice a gorilla.  

There is good research to show that children, even in our modern and secular society, are inherently spiritual – most young kids believe in God, or gods, fairies and the existence of many things unseen. But this is not celebrated in our STEM focussed education system, wherein young minds are highly conditioned to let go of such “irrational” beliefs and trust in the full explanatory power of science. It is so effective that, by the time they get to my classroom at university, I’ve got little hope of persuading any of my monists that there was a 6ft gorilla without showing the video again and letting them see it for themselves.  

But there are always some people who are willing to challenge the idea that Marley was just an undigested bit of beef. There are always some people who attend churches of one type or another, or practice other forms of spirituality and religion. Some pray, some meditate, and many take part in rituals. This trains them in what anthropologist Tanya Luhrmann calls “micro-processes of attending”, leaving them more ready to perceive spiritual things instead of screening them out of their conscious awareness. How they respond might depend on preferred tradition – dancing, liturgy, or a little bit of both. But all agree that there is something going on that is unseen and important.  

Many STEM educated, highly rational and fully committed monists no doubt think that those who attend churches are deluded and deceived into perceiving unseen things are simply just not there. These nay-sayers have been taught, implicitly and explicitly, that it is more intelligent to believe in the all-explanatory power of science. But perhaps it is they who have been deluded and deceived? As the Monkey Business Illusion demonstrates, if you flatter someone’s intelligence enough, it becomes entirely possible to hide a 6ft gorilla in plain sight.  

Watch the Monkey Business Illusion

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