Our language use is leading to a cultural abyss

We are witnessing a profound loss of commitment and discernment in the use of language, writes Oliver Wright.

Oliver Wright

After 15 years as a lawyer in London, Oliver is currently doing a DPhil at the University of Oxford.

Four rugby players stand and watch beside a referee gesturing with his arm.

Rugby players wait upon Wayne Barnes' word.

RFU.

The 2023 Rugby Union World Cup Final was one of the most iconic international matches in living memory, involving two of the most iconic teams – the All Blacks and the Springboks. It’s not surprising that after reaching such a pinnacle of a sporting career, there should be retirements that followed. But two retirements caught my eye. Not from players, but from referees: Wayne Barnes, the most experienced international referee in the world, the main match official, and Tom Foley, also highly experienced, the Television Match Official. Why? Wayne Barnes’s statement is particularly gracious and thoughtful. But the reason given in common with Tom Foley, and indeed many others in similar situations and similar high-pressure roles in the public eye, is worrying: online abuse. After the cup final, death threats were even sent to the school of Foley’s children.

Online abuse has become an endemic, worldwide problem. There are real people issuing these threats and abuse; and there are real people receiving them, and responding in some way. Of course, there is also the problem of online ‘bots’. But they only succeed in their abuse because of their imitation of real abusers.

It’s worth asking why, because we can go beyond the helpless handwringing of ‘the perils of being online’. There are philosophical and indeed theological reasons, and philosophical and theological ways, I suggest, of climbing out of the abyss.

In fact, all words ‘act’ in some way. Even plain truth-describers assert something, such that an interlocuter can learn or discern for themselves.

Let’s go back to the 1950s, when two important advances in the philosophy of language and in religious language occurred. The first came from Oxford, and the White’s Professor of Philosophy, J.L. Austin. The second came from Durham, and its then Bishop, Ian Ramsey.

Austin, whose remarkable life and work has now been brilliantly documented for the first time in the biography by Mark Rowe (published by OUP, 2023) was a decorated Second World War veteran in the intelligence corps who was widely recognised as being one of the masterminds of the success of the D-Day Landings. On his return to Oxford in the late 1940s he perceived with great dissatisfaction a certain philosophical move which accorded the greatest importance in language to words and phrases which described things, which indicated some form of empirical truth about the world. For sure there were other kinds of use of language, religious language, emotional language, and so on, this argument continued. But that was fairly worthless. Describing cold hard scientific truth was the true utility for language.

Austin’s most famous response was in his book How To Do Things With Words. The function of language goes way beyond the scientific description of the world. Language acts, it does things. We promise, we name, we cajole, we threaten, we apologise, we bet. There is no real ‘truth’ as such conveyed in such ‘speech-acts’. Their importance lies, rather, in what is thereby done, the act initiated by the words themselves. Or, in the Austin-ian jargon, the ‘illocution’ within the ‘locution’.

But Austin realised something even more important as he investigated this form of language – these performative utterances. In fact, all words ‘act’ in some way. Even plain truth-describers assert something, such that an interlocuter can learn or discern for themselves. What matters is how ‘forceful’ the relevant act of speech is in each case. Sometimes the speech-act is very simple and limited. In other cases, such as threats, the performative aspect of the utterance is most forceful indeed.

Austin’s student John Searle took the idea of performative language to America, and developed it considerably. Most notable for our purposes, however, over against Austin’s idea, was the separation of speech from act. By analysing the conventions and circumstances which surround the performance of a speech act – a baptism service for instance – we can observe how and why the act occurs, and how and why such an act might go wrong. But the debate was then divorced from the context of speakers themselves performing such actions, an integrity of speaker and action. The philosophical problem we then hit, therefore, is that a spoken word and the associated act (‘locution’ and ‘illocution’) are two entirely separate ‘acts’.

Let’s move now from Oxford to the great Cathedral city of Durham. At the same time as Austin was teaching in Oxford, the Bishop of Durham Ian Ramsey – apparently unaware of Austin’s new theory of performatives – investigated religious language to try and get to grips with both how religious language does things, and what it says of its speakers and writers. Ramsey developed a two-fold typology for religious language – that of commitment and discernment. First, religious language implies two forms of commitment: there is the speaker/writer’s commitment of communicability, a desire to communicate, to be comprehensible, to ‘commune through language’; and the speaker/writer of religious language also entertains prior commitments for the language adopted – language is rarely neutral when it comes to religion. Second, religious language implies a form of discernment about the words that are being invoked and for what purpose. They are not universals, but carry special meanings according to the particular conventions involved. Commitment and discernment.

But this new innovation in the philosophy of religious language too was taken up and developed away from Ramsey’s idea – particularly in the much more famous work of John MacQuarrie, a Scottish philosophical theologian who spent much time teaching both in the States, and in Oxford. In MacQuarrie, writing at the height of the influence of thinkers such as Heidegger and Bultmann, Ramsey’s ‘commitment’ and ‘discernment’ got subsumed into existentialism and myth. The religious speech act became merely an event or an act for the self, a personal matter which might involve transformation, but might not.

These two strands, of the philosophy of language as it got taken up by Searle and his American counterparts, and of the philosophy of religious language as it got taken up by MacQuarrie, have for some time now predominated. And it is only recently that scholars on both sides have begun to perform a ressourcement, both on Austin, and on the nature of religious language in the wake of Bultmann.

The Twitter-sphere seems irrevocably to have divorced the bonds that tie speaker to their acts. In these fertile conditions, abuse flourishes.

We can now return to the cases of Wayne Barnes and Tom Foley, and many others in many different walks of life just like them. Undoubtedly, the emotional, existential, and physical distance secured by interacting online has created the conditions for online abuse to flourish. But at a deeper level, what we are witnessing is a profound loss of commitment and discernment in the use of language, in society as a whole and also in the Church. Real people feel free to use language oblivious to any inherent act contained within it. The Twitter-sphere seems irrevocably to have divorced the bonds that tie speaker to their acts. In these fertile conditions, abuse flourishes. Similarly, in the Church, the commitment and discernment which has lain behind millennia of liturgical and doctrinal language has become a private spiritual matter; or indeed has been neglected in public when religious witness has not been matched between word and deed.

How do we walk back from this cultural abyss? There is an ethical, and, potentially, a religious choice to make. The ethical choice is to think about what our language does to those who read (or hear) it, and to change the way we speak or write, accordingly. Ramsey's modes of ‘commitment’ and ‘discernment’. The religious dimension is to recognise that our words bind us to a system of belief, whether we like it or not. Saying one thing and doing another in a religious context implies a diminution in value of language for all concerned, not just the private life of the individual believer.

Actions speak louder with words.

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21 June 2024

4 min read

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.