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  • Writer's pictureJVC

Rousseau's Ghost in the Machine: An 18th-Century Lens on AI

Imagine, for a moment, Jean-Jacques Rousseau strolling through the bustling streets of Silicon Valley.


Now picture this 18th-century philosopher, known for his flowing robes and penetrating gaze, surrounded by sleek electric cars and people glued to smartphones.


What would he make of our world? More importantly, what can his ideas teach us about the AI revolution unfolding before our eyes?


I've been pondering this unlikely scenario after taking another look at his First and Second Discourse on inequality. I had first been introduced into a deep reading of his writings through one of my favorite political science courses in undergrad. Recently Johnathan Bi released some amazing lectures on YouTube which got me diving back into the writings again.


Interestingly enough I found Rousseau's writings a startlingly prescient critique of our tech-driven society. It's as if he foresaw our digital future and left us a philosophical time capsule, filled with warnings and wisdom we're only now beginning to decipher. (of course, taking it all with a grain of salt)


Let's start with Rousseau's concept of "amour-propre" – a term that doesn't translate neatly into English but encompasses ideas of pride, vanity, and our relentless need for social validation.


In Rousseau's time, this manifested in the salons of Paris, where intellectuals engaged in verbal jousting matches, each vying to be recognized as the most brilliant mind in the room. Sound familiar? "cough cough" Social Media


It's in our social media feeds, where algorithms stoke our desire for likes and shares, quantifying our worth in followers and engagement metrics. In our AI-driven world, "amour-propre" has found new expression beyond social media and expos. It's in the frenetic pace of research labs racing to publish the next groundbreaking paper. It's in the tech titans competing to claim the mantle of AI leadership.


But here's where Rousseau's insight gets really interesting. He argued that this pursuit of recognition, while seemingly innocuous, has profound societal implications. It drives inequality, he claimed, "creating a never-ending competition for status that ultimately corrupts our nature and erodes social bonds." (again, all sounding very familiar)


Now down talking modern society aside, let's apply this lens to AI development.


Are we creating AI systems that serve genuine human needs, or are we caught in a cycle of innovation for innovation's sake, driven more by the pursuit of prestige than by a commitment to social good?


When a new AI model breaks benchmarks in natural language processing or image generation, are we truly advancing human knowledge, or are we simply moving the goalposts in a game of technological one-upmanship?

To really grasp this question, consider a thought experiment:


Imagine two AI research labs.


Lab A focuses on developing AI that can compose symphonies indistinguishable from human-created masterpieces.


Lab B is working on AI that can optimize food distribution to eliminate hunger in developing nations.



Both are impressive technological feats, but which one truly advances human flourishing?


You might initially argue that Lab A's pursuit, while dazzling, ultimately serves "amour-propre" – the desire for recognition and admiration. Lab B, on the other hand, addresses a fundamental human need, potentially reducing inequality and suffering. However, Rousseau's perspective would likely add a layer of complexity to this scenario.


He might argue that the true nature of "amour-propre" isn't always apparent on the surface. Consider this: Lab A, focused on AI-composed symphonies, might be staffed by passionate musicians and developers who are driven by a genuine love for their craft. Their goal might be to create something beautiful and make it freely accessible, actively working to ensure their AI doesn't negatively impact human musicians. In this case, their pursuit, while seemingly less practical than Lab B's, could be seen as a pure expression of human creativity and collaboration and falls under "amour de soi", another form of self-love that aligns with the ancient passions of humanity rather than vanity.


Conversely, Lab B, despite its noble goal of optimizing food distribution, might be motivated more by the potential for recognition and profit. The researchers might be primarily concerned with securing patents, attracting high-profile investments, or charging substantial licensing fees for their technology. Rousseau might see this as a more insidious form of "amour-propre" - one that cloaks itself in the guise of altruism but is ultimately driven by self-interest and the pursuit of status.


Funny enough, even our own personal view of each Lab falls victim to vanity, one may support Lab B simply because that is "the one that looks good to support" or "the best cause" without ever taking a deeper look into each Lab. We want people to think we are supporting the "proper" cause because it makes us look better, it is our "amour-propre"


This nuanced view of motivation and progress brings us to another key aspect of Rousseau's philosophy: his critique of advancement itself.


In his 'Discourse on the Arts and Sciences,' Rousseau made the shocking argument that progress in knowledge and technology had not necessarily improved human morality or happiness. In fact, he claimed, they had often corrupted our natural virtues. This perspective becomes even more relevant when we consider the complex motivations driving AI development.


Before you dismiss this as the ramblings of a technophobic luddite, let's consider its application to AI.


We often assume that smarter AI systems will inevitably lead to better outcomes for humanity. But Rousseau challenges us to question this assumption. Are we creating AI that enhances our humanity, or systems that further alienate us from our natural state? (I must remind you this is coming from an AI evangelist)


Think about it this way: AI-powered recommendation systems can introduce us to new music, books, and ideas we might never have discovered on our own. That's progress, right?


But these same systems also have the potential to trap us in echo chambers, narrowing our worldview and reinforcing our biases. They can optimize for engagement, keeping us glued to screens instead of engaging with the physical world and the people around us.


Rousseau might argue that true progress isn't just about expanding our capabilities or knowledge, but about nurturing our innate capacity for compassion, creativity, and moral reasoning.


So the question becomes: How do we develop AI systems that don't just make us smarter or more efficient, but that make us more fully human?


This leads us to one of Rousseau's most profound ideas: the concept of the "general will."


For Rousseau, the general will represented the collective moral conscience of a society, distinct from the mere aggregation of individual desires. It was, in his view, the source of legitimate political authority and the guidepost for ethical decision-making.


Let's transpose this idea into the realm of AI ethics. As we develop AI systems that make increasingly consequential decisions – from approving loans to diagnosing diseases to maybe even participating in democratic processes – how do we ensure they align with our collective moral values?


It's not enough to simply aggregate user preferences or optimize for the majority's wishes. Rousseau would argue that we need to strive for something higher – a moral consensus that transcends individual self-interest. (Note: He does not demonize self interest in its entirety, in fact he sees it as a necessity to good progress in some forms)


In practical terms, this might mean developing AI systems with built-in ethical frameworks that prioritize the common good over narrow efficiency metrics.


Imagine an AI system designed to allocate healthcare resources.


A purely utilitarian approach might prioritize treating younger patients with a higher chance of survival. But an AI guided by Rousseau's concept of the general will might factor in broader societal values – the dignity of elder care, the emotional impact on families, the collective trauma of triage decisions.


The complexity we observed in the motivations of our hypothetical AI labs underscores the challenge of aligning AI with the general will. Just as individual researchers might have mixed motivations, the collective will of society regarding AI is multifaceted and sometimes contradictory. How do we ensure that AI systems serve our highest collective aspirations rather than our baser impulses or narrow interests yet still allow for the freedoms of the individual?


It's a dauntingly complex challenge, but one that Rousseau's philosophy suggests we must grapple with.


This brings us to perhaps the most interesting intersection between Rousseau's thought and our AI future: the nature of humanity itself.


Rousseau famously argued that humans are born inherently good, only to be corrupted by society's institutions. (Hobbes is certainly rolling in his grave)


As AI increasingly shapes those institutions – from education to governance to social interaction – we're forced to confront fundamental questions about human nature and potential.


Are we creating AI systems that nurture our *supposed* innate goodness, or ones that exacerbate our worst tendencies? When we interact with AI chatbots or virtual assistants, are we expanding our capacity for empathy and understanding, or are we training ourselves to treat sentient-seeming entities as mere tools and by extension dehumanizing human workers?


As you can tell I am a big fan of thought experiments so here is another one:


A child grows up with an AI tutor as their primary educational guide. The AI is infinitely patient, tailors lessons perfectly to the child's learning style, and never tires or gets frustrated. On the surface, this seems like an educational utopia. But what might be lost? The experience of human fallibility, the lessons learned from a teacher's occasional impatience or mistakes, the subtle social cues that can't be replicated by even the most advanced AI (yet) – these are all part of what Rousseau might consider our "natural education."


This isn't to say that AI in education is inherently problematic, but rather that we need to carefully consider the full implications of the systems we're building. Rousseau's philosophy challenges us to look beyond mere efficiency or knowledge acquisition, and to consider how our technologies shape our very humanity.

Yet, for all his skepticism about progress and civilization, Rousseau wasn't advocating for a return to some primitive state or the destruction of our institutions and societies as a whole.


He recognized the power of knowledge and the potential for positive change. The challenge he poses to us – in his time and ours – is to harness that power responsibly, to create systems that enhance rather than diminish our humanity.


As we stand at this inflection point in human history, with AI poised to reshape every aspect of our lives, Rousseau's voice calls us to vigilance.


t urges us to question our assumptions, to look beyond the dazzle of innovation and Vanity to their deeper implications. It reminds us that true progress isn't measured in processing power or model parameters, but in the flourishing of the human spirit.


So let Rousseau's ghost wander freely through our data centers and research labs. Let it whisper doubts in the ears of developers and policymakers.


For in grappling with his challenging ideas, we may find the wisdom to create an AI future that doesn't just mimic human intelligence but elevates human potential.


In the end, perhaps the most important lesson Rousseau offers is this:


"The world of reality has its limits; the world of imagination is boundless."

As we continue to push the boundaries of what's possible with AI, let's carry Rousseau's questions (and your own critiques of those questions) with us. Let's strive to create technologies that don't just make us smarter or more efficient, but more fully human.


For in doing so, we might just create an AI revolution that even a skeptical 18th-century philosopher could believe in.





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