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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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Review
AI
Books
Culture
Education
Monsters
5 min read

Are we letting a monster or saviour into the classroom?

Examining Sal Khan’s confidence in artificial intelligence.

Krish is a social entrepreneur partnering across civil society, faith communities, government and philanthropy. He founded The Sanctuary Foundation.

A board of experts sit at a table against a conference backdrop.
Sal Khan, left, at an AI summit.
White House via Wikimedia Commons.

I've watched enough dystopian movies to know that there are lots of reasons to be nervous about the rise of the machines. Whether it’s the Terminator universe where the internet becomes sentient and creates autonomous robots to eradicate humanity, Neo battling an artificial intelligence that enslaves humans in The Matrix, or Will Smith fending off helper robots bent on taking over the planet in I, Robot, technological advances often fuel an array of nightmare scenarios. As if to make matters worse, science fiction has an uncanny knack for becoming science fact – I think of how shows like Star Trek accurately foretold mobile phones, wearable tech and virtual assistants. The line between imagined catastrophe and reality might be thinner than we might like to admit. 

Perhaps we shouldn’t be surprised then, that our creative industries are sending out dire warnings about the impact of the latest breakthrough technology - Artificial Intelligence (AI). Like Mary Shelley’s Frankenstein in the middle of the industrial revolution, and Godzilla in the dawn of the nuclear era, dystopian fiction is par for the course of scientific advancement. It all stems, I believe, from our deep human response to the unknown – the fear instinct. But I have recently come across a surprising new voice of reassurance in Sal Khan’s book Brave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing)

Khan’s book comes recommended by Bill Gates - a reliably voracious reader and one of the founding fathers of the global information technology revolution. But Khan also has his own excellent credentials. From tutoring his niece online using a simple online drawing programme called Yahoo Doodle, he began creating YouTube videos and soon amassed over 450 million views. This led to his creation of the now world-renowned Khan Academy which has revolutionised online education. By 2023, it had more than 155 million registered users, with students spending billions of hours of learning on the platform.  

Teachers are concerned that AI could undermine their expertise, much like satellite navigation diminished the skills of London Black Cab drivers. 

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It seems to me that AI has the potential to upend the Khan Academy business model, however Khan does not take the opportunity to discredit AI or even to highlight its dangers in a bid to reinforce the advantages of his existing products. Nor does he buy into the doom and fearmongering about the impact of digital technologies on young minds, as Jonathan Haidt does in his recent bestselling book Anxious Generation. Instead, he writes a hopeful and imaginative book on AI’s potential for further transforming education for good.  

Khan’s perspective comes amidst great fear in educational circles that generative AI will mean the end of education. Students can currently ask ChatGPT to generate an outline for them for an essay, suggest copy, check grammar and accuracy, offer improvements, translations, and factchecks, as well as write a conclusion, edit for wordcount, add footnote references and more. Indeed, entire books available for sale on Amazon have been allegedly written solely by AI. Teachers and lecturers are understandably concerned about the potential for plagiarism. If teachers are no longer able to discern what a student has written for themselves and what a computer has generated, the assessment process becomes meaningless. 

Teachers are concerned that AI could undermine their expertise, much like satellite navigation diminished the skills of London Black Cab drivers. After years of mastering 'The Knowledge'—an arduous and demanding process requiring exceptional memory and recall—this once-essential qualification was rendered almost obsolete. New drivers now need little more than a GPS and an Uber account to compete, a shift that highlights how quickly hard-earned skills can become irrelevant in the face of technological advances. Many teachers fear a similar fate as AI continues to encroach on their domain. 

While AI may not be the evil monster that will destroy us, neither is it the perfect saviour that will solve all society’s ills. 

Khan offers an important alternative view. He sees the possibility that AI could, for example, help coach students on essay writing. By reading work, marking it and suggesting improvements, AI could not only save the teacher valuable time but help students take their work to an even higher level.  

Khan offers a similar hopeful alternative to those who blame digital technology advances for the crisis in young person’s mental health. What if AI could help offer coping mechanisms, coaching and tailored advice that can help improve the mental health of students? His vision for the Khan academy virtual assistant ‘”Khanmigo” reminded me of BayMax from Disney’s Big Hero 6 – the large inflatable, huggable robot with a calm, compassionate and loyal personality, highly committed to every aspect of his user’s wellbeing.  

Amid voices that demonise AI, Khan’s is a useful antidote, however I wonder if he has gone too far. While AI may not be the evil monster that will destroy us, neither is it the perfect saviour that will solve all society’s ills. Understatement is not Khan’s strong point. Instead, sometimes he becomes so carried away in excitement that I feel his book begins to sound like an infomercial for his own, current and future products.  

I wish that Khan had taken a slightly different tack – no less inspiring about the potential of AI, but also recognising its limits. After all education is as much about transformation as it is about information. It should lead to character formation as much as skill acquisition. Emphasising these aspects of moral and perhaps even spiritual mentorship, we can see that education remains irreplaceably human.  

AI has huge potential to help and to hinder us in our educative responsibilities to the next generation– and so questions remain – not if AI will change our world, but how. We need to ask not just what benefits it could bring, but who it could benefit most usefully.