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.  

Explainer
AI
Belief
Creed
5 min read

Whether it's AI or us, it's OK to be ignorant

Our search for answers begins by recognising that we don’t have them.

Simon Walters is Curate at Holy Trinity Huddersfield.

A street sticker displays multiple lines reading 'and then?'
Stephen Harlan on Unsplash.

When was the last time you admitted you didn’t know something? I don’t say it as much as I ought to. I’ve certainly felt the consequences of admitting ignorance – of being ridiculed for being entirely unaware of a pop culture reference, of being found out that I wasn’t paying as close attention to what my partner was saying as she expected. In a hyper-connected age when the wealth of human knowledge is at our fingertips, ignorance can hardly be viewed as a virtue. 

A recent study on the development of artificial intelligence holds out more hope for the value of admitting our ignorance than we might have previously imagined. Despite wide-spread hype and fearmongering about the perils of AI, our current models are in many ways developed in similar ways to how an animal is trained. An AI system such as ChatGPT might have access to unimaginable amounts of information, but it requires training by humans on what information is valuable or not, whether it has appropriately understood the request it has received, and whether its answer is correct. The idea is that human feedback helps the AI to hone its model through positive feedback for correct answers, and negative feedback for incorrect answers, so that it keeps whatever method led to positive feedback and changes whatever method led to negative feedback. It really isn’t that far away from how animals are trained. 

However, a problem has emerged. AI systems have become adept at giving coherent and convincing sounding answers that are entirely incorrect. How has this happened? 

This is a tool; it is good at some tasks, and less good at others. And, like all tools, it does not have an intrinsic morality. 

In digging into the training method for AI, the researchers found that the humans training the AI flagged answers of “I don’t know” as unsatisfactory. On one level this makes sense. The whole purpose of these systems is to provide answers, after all. But rather than causing the AI to return and rethink its data, it instead developed increasingly convincing answers that were not true whatsoever, to the point where the human supervisors didn’t flag sufficiently convincing answers as wrong because they themselves didn’t realise that they were wrong. The result is that “the more difficult the question and the more advanced model you use, the more likely you are to get well-packaged, plausible nonsense as your answer.” 

Uncovering some of what is going on in AI systems dispels both the fervent hype that artificial intelligence might be our saviour, and the deep fear that it might be our societal downfall. This is a tool; it is good at some tasks, and less good at others. And, like all tools, it does not have an intrinsic morality. Whether it is used for good or ill depends on the approach of the humans that use it. 

But this study also uncovers our strained relationship with ignorance. Problems arise in the answers given by systems like ChatGPT because a convincing answer is valued more than admitting ignorance, even if the convincing answer is not at all correct. Because the AI has been trained to avoid admitting it doesn’t know something, all of its answers are less reliable, even the ones that are actually correct.  

This is not a problem limited to artificial intelligence. I had a friend who seemed incapable of admitting that he didn’t know something, and whenever he was corrected by someone else, he would make it sound like his first answer was actually the correct one, rather than whatever he had said. I don’t know how aware he was that he did this, but the result was that I didn’t particularly trust whatever he said to be correct. Paradoxically, had he admitted his ignorance more readily, I would have believed him to be less ignorant. 

It is strange that admitting ignorance is so avoided. After all, it is in many ways our default state. No one faults a baby or a child for not knowing things. If anything, we expect ignorance to be a fuel for curiosity. Our search for answers begins in the recognition that we don’t have them. And in an age where approximately 500 hours of video is uploaded to YouTube every minute, the sum of what we don’t know must by necessity be vastly greater than all that we do know. What any one of us can know is only a small fraction of all there is to know. 

Crucially, admitting we do not know everything is not the same as saying that we do not know anything

One of the gifts of Christian theology is an ability to recognize what it is that makes us human. One of these things is the fact that any created thing is, by definition, limited. God alone is the only one who can be described by the ‘omnis’. He is omnipotent, omnipresent, and omniscient. There is no limit to his power, and presence, and knowledge. The distinction between creator and creation means that created things have limits to their power, presence, and knowledge. We cannot do whatever we want. We cannot be everywhere at the same time. And we cannot know everything there is to be known.  

Projecting infinite knowledge is essentially claiming to be God. Admitting our ignorance is therefore merely recognizing our nature as created beings, acknowledging to one another that we are not God and therefore cannot know everything. But, crucially, admitting we do not know everything is not the same as saying that we do not know anything. Our God-given nature is one of discovery and learning. I sometimes like to imagine God’s delight in our discovery of some previously unknown facet of his creation, as he gets to share with us in all that he has made. Perhaps what really matters is what we do with our ignorance. Will we simply remain satisfied not to know, or will it turn us outwards to delight in the new things that lie behind every corner? 

For the developers of ChatGPT and the like, there is also a reminder here that we ought not to expect AI to take on the attributes of God. AI used well in the hands of humans may yet do extraordinary things for us, but it will not truly be able to do anything, be everywhere, or know everything. Perhaps if it was trained to say ‘I don’t know’ a little more, we might all learn a little more about the nature of the world God has made.