Explainer
AI
Culture
Digital
7 min read

Challenging transhumanism’s quest to optimise our future

Instead of separating the human from the hardware, Oliver Dürr recommends rediscovering other ways of self-formation and improvement.

Oliver Dürr is a theologian who explores the impact of technology on humanity and the contours of a hopeful vision for the future. He is an author, speaker, podcaster and features in several documentary films.

A plastic sheet strewn with biology-related instruments.
A biohacking kit for a biology workshop.
Xavier Coadic, CC BY-SA 4.0, via Wikimedia Commons

Welcome to the age of transhumanism. In this world, the goal is to overcome all limitations and restrictions that hold human beings back. Science, technology, and medicine should allow us to live longer, healthier, and better lives. So runs the promise. But is there a peril that goes along with it? To answer that question, we need to take a closer look at the phenomenon of transhumanism, particularly the view of human beings that lies behind the glittery promises of an “optimised” future.  

Improving humans, however possible 

Transhumanism is a global movement that seeks to use all available technological means to “enhance” human beings. From curing illnesses and overcoming physical limitations to expanding mental abilities, the movement aims to overcome all obstacles to the current human condition. 

More precisely, it seeks to overcome all obstacles to the individual’s freedom to live the life he or she wants to live. In the attempt to enhance life, transhumanism veers beyond traditional forms of curing impairments (like compensating for bad sight with a pair of glasses) and ventures into more experimental fields (like manipulating the human eye to see ultraviolet or infrared light). Emotional or cognitive deficits (such as lack of concentration) are supposed to be overcome by “smart drugs” (like Methylphenidate / Ritalin) and even genetic modifications, and prostheses are considered to expand human capabilities.  

The goal is to create “superhuman” abilities. The holy grail of this movement is drastically extending the human lifespan (if it is in a state of health and vigour). Ultimately, transhumanists want to “overcome” death.  

There are two paths within the transhumanist movement on which they hope to arrive at this sacred goal: a biological and a post-biological way.  

Biological transhumanism 

Let’s have a look at “biological transhumanism” first: The focus here is on our current, carbon and water-based bodies. Weak and fragile as they are, biological transhumanists must make do with them to achieve the greater things they envision. Human beings must be treated with drugs, and a host of prefixed technologies: bio-, gene-, and nano-. 

Aubrey de Grey’s project of postponing death by achieving a “longevity escape velocity” is a good illustration of the movement. De Grey is convinced that novel biomedical technologies can achieve a limitless extension of the human life span: “If we can make rejuvenation therapies work well enough to give us time to make them work better,” he writes, “that will give us additional time to make them work better still” and so on. The time gained with a particular innovation must only be greater than the time needed to achieve another such advancement. Therefore, he argues, the effective death of people alive today can be staved off indefinitely.  

De Grey is not alone in transhumanist circles to predict such outcomes. Google’s Ray Kurzweil has a similar view: “We have the means right now to live long enough to live forever”.  

Such optimistic prognoses bank on a view of human beings as being essentially a body-machine that can be controlled and improved at will. The key to unlocking its potential is information theory.  

Think of human beings as an algorithm, and, in principle, all their problems can be solved by engineering. Cultural critic Evgeny Morozov poignantly called this approach “technological solutionism”. From a ‘solutionist’ perspective, humanity is increasingly seen as the problem that needs solving. Thus, not only must we develop new technologies to guarantee human life and freedom, but humanity needs to adapt. Those necessary “transformations” of the “human” are what inform the first dimension of the term “trans-humanism”. 

If human beings want a seat at the table in the digital future, they must find a way to merge with and dissolve into the digital sphere—or so the transhumanist narrative goes. 

Post-biological transhumanism 

The second path is “post-biological transhumanism”, which takes a more radical approach. Here, the focus is on leaving behind our current bodily form altogether and radically transcending the limitations of what it means to be human today. Those alterations, such transhumanists argue, will be so radical that calling the result “human” will no longer be adequate. The preferred means to achieve the future state are taken from the digital sphere: algorithms and information processes.  

The view of “the human as a machine” becomes more specifically “the human as a computer”. Mind, spirit and consciousness are understood to be the software within the hardware of the body. Human beings are perceived to be biological computers and thus in direct competition with digital computers. And those are becoming increasingly powerful by the hour. If human beings want a seat at the table in the digital future, they must find a way to merge with and dissolve into the digital sphere—or so the transhumanist narrative goes.  

Immortality in the Cloud? 

For post-biological transhumanists, the ultimate goal is called “mind-uploading”. The idea is that we can upload our minds (selves) to the internet and achieve immortality—at least if all we are is the sum of information processes in the brain and as long as the internet infrastructure is still available. Mind uploading requires leaving behind our current biological form of life altogether and dissolving into virtuality.  

This vision of virtual immortality is why post-biological transhumanists tend to place their hopes in information technologies, software algorithms, robotics and artificial intelligence research. They aim to overcome and entirely leave behind the “human” as it is. This move to “transcend” informs the second dimension of the term “trans-humanism”. 

In classical humanism, at least from the Renaissance to the 1970s, “human improvement” meant education, moral, intellectual, and practical formation and refinement towards a concrete ideal of humanity and the shaping of a society that enables such formative processes. 

Is there a solution? 

But can those transhumanistic approaches really deliver on their promises? 

Human beings have always tried to improve themselves—not least through technology. What is new today is how transhumanists define “better” and some means of realising those perceived benefits. With its solutionist approach to life, transhumanism discards large swaths of traditional techniques to “improve” human beings and their lives. In classical humanism, at least from the Renaissance to the 1970s, “human improvement” meant education, moral, intellectual, and practical formation and refinement towards a concrete ideal of humanity and the shaping of a society that enables such formative processes.  

But in the age of transhumanism, there is a tendency to believe that we can delegate such hard work of the self to a new technocracy and their algorithmic tools—who, to put it mildly, may not always have our best interests at heart.  

Freedom is best conceived, not as a mere “choice” to do what we please, but the liberty to live a truly fulfilling life, which almost always includes others .

The main problem, however, is that ultimately, we cannot delegate our future to machines because, after all, we aren’t machines. Instead, we must learn to live with ourselves, our limitations, and our finitude, or we will never be free. Freedom only ever begins once we learn to let go of ourselves and start living for and with others.  

The reason for this is that freedom is best conceived, not as a mere “choice” to do what we please, but the liberty to live a truly fulfilling life, which almost always includes others. Many of the things that make a future worth wanting in the first place are shared goods, relational, communitarian, cultural values and practices that needn’t be optimised or automated at all—at least not technologically.  

When building a sandcastle with my toddlers, that process needn’t be optimised (which realistically would mean excluding the toddlers from the process altogether). Rather, the process of doing it together is the point. Political decision-making processes, to take another example, also don’t have to be automated or made more efficient through algorithms. Struggle in deliberating how our society should look is the point. Without such moral deliberation, our public life is diminished. In many cases, the slowness, strenuousness and inefficiency of such processes is a feature, not a bug.  

A tech future beyond transhumanism 

Having this in mind changes the questions we pose in light of novel technologies: How (if at all) can they be integrated into our lives in such a way that they open up the world in its complexity, allowing us to experience the fullness of life and enabling us to shape the future we really want? 

It is time to rediscover and bring back religious and humanistic traditions of self-formation into our public debates about the future. Far from being relics of the past, soon to be discarded, they can provide us with tried and true values, practices and virtues around which we can organise our societies in the digital future. They provide us with the tools to unlock the sources of care and the will to create a better social framework in which human beings and technology find their place. The future need not be transhuman to be better; being fully human is quite enough.  

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.