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.

Explainer

Culture

Digital

30 July 2024

5 min read

How tech harvests our humanity

The second in a three-part series exploring the implications of technology.

James Lawrence

James is Canon Missioner at Blackburn Cathedral. He researches technology and theology at Oxford University.

In the first article, I painted a picture of the ordinary person using modern technology, for example, social media on a smart phone. I noted that advocates for modern technology seem to have two basic principles: that technology is natural and neutral. In this next article I want to introduce the philosophy of Martin Heidegger and show how he pushes against these two basic principles and invites us to think again about modern technology. Heidegger’s instinct, as a twentieth century philosopher, is to be suspicious that things are not as they seem, he casts his suspicious gaze over modern technology and sees a way of being that technology encourages that exists underneath the technologies that we use every day.

What Heidegger wants to show us about modern technology is not related to specific concerns about particular technologies but instead a general suspicion about the ‘essence’ of technology, or, you could say, the spirit of technology. He doesn’t want us to immediately jump to pragmatic questions about how to use technology, as if the primary question is how to make any given technology better or more moral. Instead, Heidegger wants us to take modern technology together as a whole and ask, “What is the essence of this?” Heidegger’s contention is that “technology is not an object or set of objects, nor a way of handling objects with tools, but a form of being the world. It is not something we choose to refuse, but the environment in which modern humans come into existence.”

Heidegger argues that underneath any piece of tech that we might use in our day-to-day lives, technology at its core has already completely changed the way that we as a society understand and interact with the world and everything in it. We live in a technological age and as members of a technological society and so we have been shaped by (to use Christian language, we have been ‘discipled’ by) the spirit of the age to see the world around us. Heidegger suggests that we now see the world as broken down into useable bits that can be categorised and reformed to suit our needs. As Mark Wrathall puts it, the essence of technology is to train us to “experience the world as calling on us or drawing us. To transform everything into stock pieces, so that they can be placed into a vast inventory of options.”[2] Growing up in a technological society means that we see the whole world as an Amazon warehouse a place of seemingly limitless options that can be called upon depending on our needs and quickly delivered.

A piece of technology such as the smartphone points to a wider ‘spirit’ of technology which intends to position everything, even human beings, as replaceable resources within a larger system.

The central word that Heidegger uses to describe the essence of technology is gestell which is not an easy word to translate into English, but two possible translations would be ‘positionality’, or ‘enframing’. His point is that the essence of technology is to remove objects, people, and things from their natural environment and position them so that they might become useful, a resource, available for our manipulation. When Heidegger says that the essence of technology is gestell he is pointing to the way that modern technology extracts objects from their contexts and turns them into a quarry to the plundered. There are of course obvious ways in which humanity has always extracted resources from the natural world: we have always quarried for energy (coal, oil etc) or chopped down forests for wood. By claiming that the essence of modern technology is gestell, Heidegger wants us to notice that in the modern world, it’s not just quarries or forests that we mine for resources but now anything and everything can be turned from being a singular object in the world into a recourse for extraction. Everything has become what Heidegger calls “standing reserve.”

Think again of a smartphone, it is just one of the billions of devices that sit on shelves or, having already been purchased, live in someone else’s pocket. Inside each device are thousands of transistors and circuit boards each of which again are stockpiled in warehouses ready to be replaced if needed or used for some other purpose. Your phone is connected to a network of nodes each of which can be replicated or replaced if needed, no node is unique. Your latest phone has no unique or prize relation to you, it’s just the latest upgrade which will be recycled in a year or two when the next upgrade becomes available. The person from whom you bought the phone is equally replaceable, just a faceless employee completing a set of controlled and pre-arranged tasks that are designed to be completed by anyone and no one in particular. Likewise, you as the consumer are considered to be little more than “standing reserve” by the companies that supply you with your smartphone and access to their networks. One of many millions of nodes in their system that has been analysed so that your preferences can be expertly mapped to the range of services that they provide. Within that system, you are completely replaceable. A piece of technology such as the smartphone points to a wider ‘spirit’ of technology which intends to position everything, even human beings, as replaceable resources within a larger system: “Every item within this standing reserve is reduced to a position, actively waiting to be called on. Heidegger insists this is no judgment on the radio, the internet, or the smartphone user. It is just the way in which the essence of modern technology interacts with humanity… Heidegger provides a diagnosis of our modern age and the way in which we humans have placed ourselves under the sway of modern technology, as a resource standing within a network which seeks, ultimately, to place, represent, and think of every entity as an object within an all-encompassing system.”

Let’s return to the original thought experiment at the start of the first article: a mother playing with her child, who immediately reaches for her phone to capture the moment when her child does something particularly cute. An advocate for modern technology, like Steve Jobs, may look at that interaction and see only the benefit: a mother wanting to remember a beautiful moment with her child extends the capacities of her brain using a digital tool to aid her memory. But Heidegger would be more suspicious, he would look at that moment and argue instead that the essence of technology is to turn everything, even a precious moment with a cute baby, into a resource to be used at a later date. The unique moment of joy and delight between parent and child becomes caught and codified such that it can be found and replayed at will or easily replicated to send to others. At the extreme end of the spectrum are so-called content creators who reduce themselves to just another resource to be harvested on social media.

So that is Heidegger’s diagnosis of our technological age, in the final article in this series we will consider Heidegger’s solution and consider what a particularly Christian response to Heidegger’s diagnosis might look like.