Article
Community
Culture
Generosity
Psychology
7 min read

Is empathy really a weapon?

Musk and Fonda disagree on whether empathy is a bug or a feature.
A montage shows Elon Musk wielding a chain saw, Jane Fonda flexing her muscles and Hannah Arendt smoking.
Wordd Wrestling Empathy.

You may have heard that you can kill a person with kindness, but in recent weeks have you also heard that you can bring about your own death through empathy? In an interview recorded with podcaster Joe Rogan in February, Elon Musk added his voice to a cohort of American neo-capitalists when he claimed, “We've got civilizational suicidal empathy going on” and went on to describe empathy as having been “weaponized” by activist groups.  

“The fundamental weakness of western civilization is empathy, the empathy exploit… they’re exploiting a bug in western civilization, which is the empathy response.”  

In recent weeks empathy has become one of the hot topics of American politics, but this is not the first time that Musk has shared his thoughts about empathy, and it should be noted that on the whole he is not really against it. Musk identifies, rightly, that empathy is a fundamental component of what it means to be human, and in previous interviews has often spoken often about his vision to preserve “the light of human consciousness” – hence his ambition to set up a self-sustaining colony of humans on Mars.  

But he also believes that empathy is (to continue in Musk’s computer programming terminology) a vulnerability in the human code: a point of entry for viruses which have the capacity to manipulate human consciousness and take control of human behaviours. Empathy, Musk has begun to argue, makes us vulnerable to being infected:  

"The woke mind virus is fundamentally anti-science, anti-merit, and anti-human in general. Empathy is a good thing, but when it is weaponized to push irrational or extreme agendas, it can become a dangerous tool." 

Strangely, on certain fundamentals, I find it easy to agree with Musk and his contemporaries about empathy. For example, I agree that empathy is essential to being human. Although, far from empathy leading us to “civilisational suicide”, I would say it is empathy that saves humanity from this fate. If consciousness is (as Musk would define it) the brain’s capacity to process complex information and make a rational and informed choices, then empathy, understood as the ability to anticipate the experiences, feelings, and even reactions of others, is a crucial source of that information. Without empathy, we cannot make good decisions that benefit wider society and not just ourselves. Without it, humanity becomes a collection of mere sociopaths. 

Another point on which Musk and I agree is that empathy is a human weak point, one that can be easily exploited. Ever since the term “empathy” was coined in the early twentieth century, philosophers and psychologists have shown a sustained fascination with the way that empathy causes us to have concern for the experiences of others (affective empathy), to think about the needs of others (cognitive empathy), and even to feel the feelings of others (emotional contagion). Any or all of these responses can be used for good or for ill – so yes, I agree with Musk that empathy has the potential to be exploited.  

But it is on this very question of who is exploiting empathy and why, that I find myself much more ready to disagree with Musk. Whilst he argues that “the woke mind virus” is using empathy to push “irrational and extreme agendas”, his solution is to propose that empathy must be combined with “knowledge”. On the basis of knowledge, he believes, sober judgement can be used to resist the impulse of empathy and rationally govern our conscious decision making. Musk states: 

“Empathy is important. It’s important to view knowledge as sort of a semantic tree—make sure you understand the fundamental principles, the trunk and big branches, before you get into the leaves/details or there is nothing for them to hang on to." 

What I notice in this system is that Musk places knowledge before empathy, as if existing bits of information, “fundamental principles”, are the lenses through which one can interpret the experiences of another and then go on to make a conscious and rational judgement about what we perceive.  

There is a certain realism to this view, one that has not been ignored by philosophers. The phenomenologists of the early twentieth century, Husserl, Heidegger, Stein – those who first popularised the very idea of empathy – each described in their own way how all of us experience the world from the unique positionality of our own perspective. Our foreknowledge is very much like a set of lenses that strongly governs what we perceive and dictates what we can see about the world around us. The problem is: that feeling of foreknowledge can easily be manipulated. To put it another way – we ourselves don’t entirely decide what our own lenses are.  

To graft this on to Musk’s preferred semantic tree: empathy is a means by which the human brain can write brand new code. 

In The Origins of Totalitarianism, another great twentieth century thinker, Hannah Arendt, explored how totalitarian regimes seek to control not just the public lives but also the thought lives of individuals, flooding them with ideologies that manipulate precisely this: they tell people what to see. Ideologies are, in a sense, lenses – ones that make people blind to the unjust and violent actions of a regime:  

"The ideal subject of totalitarian rule is not the convinced Nazi or the dedicated communist, but people for whom the distinction between fact and fiction, true and false, no longer exists." 

A big part of the manipulation of people’s sense of foreknowledge is the provision of simplistic explanations for complex issues. For example, providing a clearly identifiable scapegoat, a common enemy, as a receptacle of blame for complex social and economic problems. As we know all too painfully, in early twentieth century Europe, this scapegoat became the Jewish people. Arendt describes how, whilst latent antisemitism had long been a feature of European public life, the Nazi party harnessed this this low-level antipathy and weaponised it easily. People’s sense of foreknowledge about the “differentness” of this group of “outsiders” was all too manipulable, and it was further cultivated by the Nazis’ use of “disease”, “contagion” and “virus” metaphors when speaking about the Jews. This gave rise a belief that it was rational and sensible to keep one’s distance and have no form of dialogue with this ostracised group.  

But with such distance, how would a well-meaning German citizen ever identify that their sense of foreknowledge about what it meant to be Jewish had been manipulated? Arendt identified rightly that totalitarian systems seek to eliminate dialogue, because dialogue creates the possibility of empathy, the possibility of an exchange of perspectives that might lead to knowledge – or at least a more nuanced understanding of what is true about complex situations. 

When I look at Musk’s comments, I wonder if what I can see is a similar instinct for scapegoating, and for preventing dialogue with those who might provide the knowledge that comes from another person’s perspective. In his rhetoric, the “woke mind” has been declared a common enemy, a “dangerous virus” that can deceive us into becoming “anti-merit” and “anti-human.” In dialogue, those who claim to be suffering or speaking about the suffering of others might be enabled to deploy their weaponized empathy, trying to make us care about other, to the potential detriment of ourselves and even wider humanity’s best interests. Therefore, it is made to seem better to isolate oneself and make rational judgements on behalf of those in need, firmly based on one’s existing foreknowledge, rather than engage in dialogue that might expose us to the contagion of wokeness.  

Whilst this isolationist approach appears to wisely prioritise knowledge over empathy, it misses the crucial detail that empathy itself is a form of knowledge. The experience of empathising through paying attention to and dialoguing with the “other” is what expands our human consciousness and complexifies our human decision making by giving us access to new information. To graft this on to Musk’s preferred semantic tree: empathy is a means by which the human brain can write brand new code.  

In these divisive and divided times, there are, fortunately, those who are still bold enough to make the rallying cry back to empathy. At her recent acceptance speech for a Lifetime Achievement Award, actor and committed Christian Jane Fonda spoke warmly and compellingly in favour of empathy:  

“A whole lot of people are going to be really hurt by what is happening, what is coming our way. And even if they are of a different political persuasion, we need to call upon our empathy, and not judge, but listen from our hearts, and welcome them into our tent, because we are going to need a big tent to resist successfully what's coming at us.”  

Fonda’s use of the tent metaphor, I’m sure, was quite deliberate. One of the most famous bible passages about the birth of Jesus describes how he “became flesh and dwelt among us.” The word “dwelt” can also be translated “tabernacled” or, even more literally, “occupied a tent” among us. The idea is that God did not sit back, judging from afar, despite having all the knowledge in the world at his disposal. Instead, God came to humanity through the birth of Jesus, and dwelt alongside us, in all our messy human complexity.  

Did Jesus then kill us with his kindness? No. But you might very well argue that his empathy led to his death. Perhaps this was Musk’s “suicidal empathy.” But in that case Musk and I have found another point about empathy on which we can agree – one that is summed up in the words of Jesus himself: “Greater love has no one than this: to lay down one’s life for one’s friends.”   

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Article
AI
Attention
Culture
5 min read

Will AI’s attentions amplify or suffocate us?

Keeping attention on the right things has always been a problem.

Mark is a research mathematician who writes on ethics, human identity and the nature of intelligence.

A cute-looking robot with big eyes stares up at the viewer.
Robots - always cuter than AI.
Alex Knight on Unsplash.

Taking inspiration from human attention has made AI vastly more powerful. Can this focus our minds on why attention really matters? 

Artificial intelligence has been developing at a dizzying rate. Chatbots like ChatGPT and Copilot can automate everyday tasks and can effortlessly summarise information. Photorealistic images and videos can be generated from a couple of words and medical AI promises to revolutionise both drug discovery and healthcare. The technology (or at least the hype around it) gives an impression of boundless acceleration. 

So far, 2025 has been the year AI has become a real big-ticket political item. The new Trump administration has promised half a trillion dollars for AI infrastructure and UK prime minister Keir Starmer plans to ‘turbocharge’ AI in the UK. Predictions of our future with this new technology range from doom-laden apocalypse to techno-utopian superabundance. The only certainty is that it will lead to dramatic personal and social change. 

This technological impact feels even more dramatic given the relative simplicity of its components. Huge volumes of text, image and videos are converted into vast arrays of numbers. These grids are then pushed through repeated processes of addition, multiplication and comparison. As more data is fed into this process, the numbers (or weights) in the system are updated and the AI ‘learns’ from the data. With enough data, meaningful relationships between words are internalised and the model becomes capable of generating useful answers to questions. 

So why have these algorithms become so much more powerful over the past few years? One major driver has been to take inspiration from human attention. An ‘attention mechanism’ allows very distant parts of texts or images to be associated together. This means that when processing a passage of conversation in a novel, the system is able to take cues on the mood of the characters from earlier in the chapter. This ability to attend to the broader context of the text has allowed the success of the current wave of ‘large language models’ or ‘generative AI’. In fact, these models with the technical name ‘Transformer’ were developed by removing other features and concentrating only on the attention mechanisms. This was first published in the memorably named ‘Attention is All You Need’ paper written by scientists working at Google in 2017. 

If you’re wondering whether this machine replication of human attention has much to do with the real thing, you might be right to be sceptical. That said, this attention-imitating technology has profound effects on how we attend to the world. On the one hand, it has shown the ability to focus and amplify our attention, but on the other, to distract and suffocate it. 

Attention is a moral act, directed towards care for others.

A radiologist acts with professional care for her patients. Armed with a lifetime of knowledge and expertise, she diligently checks scans for evidence of malignant tumours. Using new AI tools can amplify her expertise and attention. These can automatically detect suspicious patterns in the image including very fine detail that a human eye could miss. These additional pairs of eyes can free her professional attention to other aspects of the scan or other aspects of the job. 

Meanwhile, a government acts with obligations to keep its spending down. It decides to automate welfare claim handling using a “state of the art” AI system. The system flags more claimants as being overpaid than the human employees used to. The politicians and senior bureaucrats congratulate themselves on the system’s efficiency and they resolve to extend it to other types of payments. Meanwhile, hundreds of thousands are being forced to pay non-existent debts. With echoes of the British Post Office Horizon Scandal, the 2017-2020 the Australian Robo-debt scandal was due to flaws in the algorithm used to calculate the debts. To have a properly functioning welfare safety net, there needs to be public scrutiny, and a misplaced deference to machines and algorithms suffocated the attention that was needed.   

These examples illustrate the interplay between AI and our attention, but they also show that human attention has a broader meaning than just being the efficient channelling of information. In both cases, attention is a moral act, directed towards care for others. There are many other ways algorithms interact with our attention – how social media is optimised to keep us scrolling, how chatbots are being touted as a solution to loneliness among the elderly, but also how translation apps help break language barriers. 

Algorithms are not the first thing to get in the way of our attention, and keeping our attention on the right things has always been a problem. One of the best stories about attention and noticing other people is Jesus’ parable of the Good Samaritan. A man lies badly beaten on the side of the road after a robbery. Several respectable people walk past without attending to the man. A stranger stops. His people and the injured man’s people are bitter enemies. Despite this, he generously attends to the wounded stranger. He risks the danger of stopping – perhaps the injured man will attack him? He then tends the man’s wounds and uses his money to pay for an indefinite stay in a hotel. 

This is the true model of attention. Risky, loving “noticing” which is action as much as intellect. A model of attention better than even the best neuroscientist or programmer could come up with, one modelled by God himself. In this story, the stranger, the Good Samaritan, is Jesus, and we all sit wounded and in need of attention. 

But not only this, we are born to imitate the Good Samaritan’s attention to others. Just as we can receive God’s love, we can also attend to the needs of others. This mirrors our relationship to artificial intelligence, just as our AI toys are conduits of our attention, we can be conduits of God’s perfect loving attention. This is what our attention is really for, and if we remember this while being prudent about the dangers of technology, then we might succeed in elevating our attention-inspired tools to make AI an amplifier of real attention. 

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