Essay
AI
Culture
9 min read

Here’s why AI needs a theology of tech

As AI takes on tasks once exclusively human, we start to doubt ourselves. We need to set the balance right.

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.

In the style of an icon of the Council of Nicea, theologians look on as a cyborg and humanoid AI shake hands
The Council of Nicaeai, reimagined.
Nick Jones/Midjourney.ai

AI is all the rage these days. Researchers branching into natural and engineering sciences are thriving, and novel applications enter the market every week. Pop culture explores various utopian and dystopian future visions. A flood of academic papers, journalistic commentary and essays, fills out the picture.  

Algorithms are at the basis of most activities in the digital world. AI-based systems work at the interface with the analogue world, controlling self-driving cars and robots. They are transforming medical practices - predicting, preventing, diagnosing and supporting therapy. They even support decision-making in social welfare and jurisprudence. In the business sector, they are used to recruit, sell, produce and ship. Much of our infrastructure today crucially depends on algorithms. But while they foster science, research, and innovation, they also enable abuse, targeted surveillance, regulation of access to information, and even active forms of behavioural manipulation. 

The remarkable and seemingly intellectual achievements of AI applications uniquely confront us with our self-understanding as humans: What is there still categorically that distinguishes us from the machines we build? 

In all these areas, AI takes on tasks and functions that were once exclusive to humans. For many, the comparison and competition between humans and (algorithmically driven) machines are obvious. As these lines are written, various applications are flooding the market, characterized by their ‘generative' nature (generative AI). These algorithms, such OpenAI’s the GPT series, go further than anyone expected. Just a few years ago, it was hard to foresee that mindless computational programs could autonomously generate texts that appear meaningful, helpful, and in many ways even ‘human’ to a human conversation partner. Whether those innovations will have positive or negative consequences is still difficult to assess at this point.  

For decades, research has aimed to digitally model human capabilities - our perception, thinking, judging and action - and allow these models to operate autonomously, independent of us. The most successful applications are based on so-called deep learning, a variant of AI that works with neural networks loosely inspired by the functioning of the brain. Technically, these are multilayered networks of simple computational units that collectively encode a potentially highly complex mathematical function.  

You don’t need to understand the details to realize that, fundamentally, these are simple calculations but cleverly interconnected. Thus, deep learning algorithms can identify complex patterns in massive datasets and make predictions. Despite the apparent complexity, no magic is involved here; it is simply applied mathematics. 

Moreover, this architecture requires no ‘mental' qualities except on the part of those who design these programs and those who interpret their outputs. Nevertheless, the achievements of generative AI are astonishing. What makes them intriguing is the fact that their outputs can appear clever and creative – at least if you buy into the rhetoric. Through statistical exploration, processing, and recombination of vast amounts of training data, these systems generate entirely new texts, images and film that humans can interpret meaningfully.  

The remarkable and seemingly intellectual achievements of AI applications uniquely confront us with our self-understanding as humans: Is there still something categorically that distinguishes us from the machines we build? This question arises in the moral vacuum of current anthropology. 

Strictly speaking, only embodied, living and vulnerable humans really have problems that they solve or goals they want to achieve... Computers do not have problems, only unproblematic states they are in. 

The rise of AI comes at a time when we are doubting ourselves. We question our place in the universe, our evolutionary genesis, our psychological depths, and the concrete harm we cause to other humans, animals, and nature as a whole. At the same time, the boundaries between humans and animals and those between humans and machines appear increasingly fuzzy.  

Is the human mind nothing more than the sum of information processing patterns comparable to similar processes in other living beings and in machine algorithms? Enthusiastic contemporaries believe our current AI systems are already worthy of being called ‘conscious’ or even ‘personal beings.’ Traditionally, these would have been attributed to humans exclusively (and in some cases also to higher animals). Our social, political, and legal order, as well as our ethics, are fundamentally based on such distinctions.  

Nevertheless, companies such as OpenAI see in their product GPT-4 the spark of ‘artificial general intelligence,’ a form of intelligence comparable to or even surpassing humans. Of course, such statements are part of an elaborate marketing strategy. This tradition dates to John McCarthy, who coined the term “AI” and deliberately chose this over other, more appropriate, descriptions like “complex information processing” primarily because it sounded more fundable. 

Such pragmatic reasons ultimately lead to an imprecise use of ambiguous terms, such as ‘intelligence.’ If both humans and machines are indiscriminately called ‘intelligent,’ this generates confusion. Whether algorithms can sensibly be called ‘intelligent’ depends on whether this term refers to the ability to perform simple calculations, process data, the more abstract ability to solve problems, or even the insightful understanding (in the sense of Latin intellectus) that we typically attribute only to the embodied reason of humans.  

However, this nuanced view of ‘intelligence’ was given up under the auspices of the quest for an objectively scientific understanding of the subject. New approaches deliberately exclude the question of what intelligence is and limit themselves to precisely describing how these processes operate and function.  

Current deep learning algorithms have become so intricate and complex that we can’t always understand how they arrive at their results. These algorithms are transparent but not in how they reach a specific conclusion; hence, they are also referred to as black-box algorithms. Some strands in the cognitive sciences understand the human mind as a kind of software running on the hardware of the body. If that were the case, the mind could be explained through the description of brain states, just like the software on our computers.  

However, these paradigms are questionable. They cannot explain what it feels like to be a conscious person, to desire things, be abhorred by other things and to understand when something is meaningful and significant. They have no grasp on human freedom and the weight of responsibility that comes with leading a life. All of these human capacities require, among other things, an understanding of the world, that cannot be fully captured in words and that cannot be framed as a mathematical function.  

There are academic studies exploring the conception of embodied, embedded, enactive, and extended cognition, which offer a more promising direction. Such approaches explore the role of the body and the environment for intelligence and cognitive performance, incorporating insights from philosophy, psychology, biology, and robotics. These approaches think about the role our body as a living organism plays in our capacity to experience, think and live with others. AI has no need for such a living body. This is a categorical difference between human cognition and AI applications – and it is currently not foreseeable that those could be levelled (at least not with current AI architectures). Therefore, in the strictest sense, we cannot really call our algorithms ‘intelligent' unless we explicitly think of this as a metaphor. AI can only be called 'intelligent' metaphorically because these applications do not 'understand' the texts they generate, and those results do not mean anything to them. Their results are not based on genuine insight or purposes for the world in which you and I live. Rather they are generated purely based on statistical probabilities and data-based predictions. At most, they operate with the human intelligence that is buried in the underlying training data (which human beings have generated).  

However, all of this generated material has meaning and validity only for embodied humans. Strictly speaking, only embodied, living and vulnerable humans really have problems that they solve or goals they want to achieve (with, for example, the help of data-based algorithms). Computers do not have problems, only unproblematic states they are in. Therefore, algorithms appear 'intelligent' only in contexts where we solve problems through them. 

 When we do something with technology, technology always also does something to us. 

AI does not possess intrinsic intelligence and simulates it only due to human causation. Therefore, it would be more appropriate to speak of ‘extended intelligence': algorithms are not intelligent in themselves, but within the framework of human-machine systems, they represent an extension of human intelligence. Or even better would be to go back behind McCarthy and talk about 'complex information processing.’ 

Certainly, such a view is still controversial today. There are many philosophical, economic, and socio-political incentives to attribute human qualities to algorithms and, at the same time, to view humans as nothing more than biological computers. Such a view already shapes the design of our digital future in many places. Putting it bluntly, calling technology ‘intelligent’ makes money. 

What would an alternative, more holistic view of the future look like that took the makeup of humanity seriously?  

A theology of technology (Techniktheologie) tackles this question, ultimately placing it in the horizon of belief in God. However, it begins by asking how technology can be integrated into our lives in such a way that it empowers us to do what we truly want and what makes life better. Such an approach is neither for or against technology but rather sober and critical in the analytical sense. Answering those questions requires a realistic understanding of humans, technology, and their various entanglements, as well as the agreement of plural societies on the goals and values that make a good life.  

When we do something with technology, technology always also does something to us. Technology is formative, meaning it changes our experience, perception, imagination, and thus also our self-image and the future we can envision. AI is one of the best examples of this: designing AI is designing how people can interact with a system, and that means designing how they will have to adapt to it. Humans and technology cannot be truly isolated from each other. Technology is simply part of the human way of life.  

And yet, we also need to distinguish humans from technology despite all the entanglements: humans are embodied, rational, free, and endowed with incomparable dignity as images of God, capable of sharing values and articulating goals on the basis of a common (human) way of life. Even the most sophisticated deep learning applications are none of these. Only we humans live in a world where responsibility, sin, brokenness, and redemption matter. Therefore it is up to us to agree on how we want to shape the technologized future and what values should guide us on this path.  

Here is what theology can offer the development of technology. Theology addresses the question of the possible integration of technology into the horizon of a good life. Any realistic answer to this question must combine an enlightened understanding of technology with a sober view of humanity – seeing both human creative potential and their sinfulness and brokenness. Only through and with humans will our AI innovations genuinely serve the common good and, thus, a better future for all.  

 

Find out more about this topic: Assessing deep learning: a work program for the humanities in the age of artificial intelligence 

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Belief
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Film & TV
5 min read

I’m not sure Christopher Nolan has actually read The Odyssey

The director has drunk the Kool-aid of modernity, and done so deeply
the head of a classical statue looks up amid embers around it.
The odyssey poster.
Universal Studios.

Greek myths are full of hubris. Full of it. I feel like ‘hubris’ isn’t a word you hear very often anymore. It means excessive pride or self-confidence that leads to a downfall, in case you were wondering. “Boris Johnson’s hubristic underestimation of the effects of ‘Partygate’ was the final nail in his political coffin,” we might say.  

In one myth, Icarus is imprisoned, but given wings held together by wax in aid of his escape. He is warned not to fly too close to the sun, because the heat will melt the wax. Guess what he does? Yep! Flies too close to the sun. The wings melt and he falls to his death. Hubris

Another myth tells the story of Prometheus. No, not the slightly underrated Alien prequel. (That’s right, I said underrated, but that’s another article for another day). Prometheus defies the Greek gods by stealing fire and giving it to humans. As punishment, Zeus ties Prometheus to a rock and has an eagle eat his liver, only for it to grow back overnight so the eagle can come back the next day and start again. Hubris. 

Greek myths are full of hubris. Full of it. 

And so, this is why I find the new poster for Christopher Nolan’s upcoming adaptation of Greek epic The Odyssey so … bizarre. But then I’ve been nervous about Nolan’s adaptation since it was announced. Nolan is a wonderful filmmaker, but he’s also deeply naturalistic in the messages he conveys. By this, I mean that all his films suggest that nature – the physical, material world of atoms and things – is all there is. Even when he has opportunity to explore themes of the mystical, or magical, or the supernatural, he only does so when a purely ‘natural’ explanation for such things is possible.  

For example, in The Prestige (and HUGE spoilers for the film here: it’s incredible, please watch it if you haven’t), Nolan tells the story of two rival magicians, played by Hugh Jackman and Christian Bale. Robert Angier (Jackman) is trying to work out Alfred Borden’s (Bale) teleportation trick. The secret? (Seriously: big, big spoilers here). Science. Nikola Tesla has invented a device that can clone someone but send the clone to a different location. The trick – the mysterious MacGuffin at the film’s heart – has a natural, scientific explanation. Magic isn’t real and you’re a fool if you think otherwise. 

Perhaps this is also why Nolan directed the wonderful Dark Knight trilogy. After all, Batman’s superpower is just wealth: it’s entirely naturalistic, with nothing that can’t fit into a scientific way of understanding the world. Or we could point towards the science fiction that underwrites Inception, Interstellar, and Tenet. For a filmmaker so gifted at tension and intrigue, he has surprisingly little truck with mystique, mystery, and the divine. But this is a problem when it comes to The Odyssey. A huge problem.  

Let’s return to that poster I mentioned earlier. It shows the head of a classical Greek statue, flames ember underneath it. The caption? Defy the Gods. And it’s at this point I start to wonder if Nolan has actually read The Odyssey. Because The Odyssey takes questions of divinity and their authority very, very seriously. Like many Greek myths and poems, the message of The Odyssey isn’t ‘defy the Gods’. No: it’s ‘trying to defy the gods is an unbelievably stupid, futile, and dangerous thing to do’. Nolan would seemingly have us raze Mount Olympus to the ground.  

Look, all we have is a poster so far. Nolan might prove me wrong. But we shouldn’t be surprised if Nolan reworks The Odyssey in such a way that ‘defy the Gods’ becomes its central message. Because Nolan is a quintessentially modern filmmaker.  

In a 1965 book called Freud and Philosophy, French philosopher Paul Ricœur described the modern period as dominated by a climate of suspicion or scepticism. Within this ‘climate of thought’, the straightforward understandings of things are actually deceptive, instead hiding hidden, deeper, and ‘truer’ meanings. He described Sigmund Freud, Friedrich Nietzsche, and Karl Mark as the ‘masters of suspicion.’ And so the world around us is to be approached suspiciously, to uncover the ‘truer’ meanings about our subconscious (so Freud), our false, religiously imposed morals (so Nietzsche), or our exploitative economic systems (so Marx). 

Each of Ricœur’s ‘masters of suspicion’ might be mapped on to one of the villains in Nolan’s Dark Knight trilogy. Liam Neeson is Ra’s al Ghul, a Freud-like figure who helps Bruce Wayne navigate the psychological effects of his parents’ murders in childhood. Heath Ledger’s mesmeric Joker is Nietzsche’s stand-in, exposing our misguided systems and structures of ethics, tethered to a religious framework we no longer hold to. Tom Hardy’s Bane is Marx, freeing Gotham’s proletariat from the economic structures that oppress them so. 

It's not a perfect fit, but I think there’s more than enough evidence to say that Nolan has drunk the Kool-aid of modernity, and he has drunk so very deeply. And this would be fine – absolutely fine – if he wasn’t planning to adapt The Odyssey. Because, as a quintessentially modern filmmaker, Nolan’s work emerges out of and celebrates a culture wherein ‘defy the gods’ is a slogan that can only be heard as heroic, courageous, and noble, rather than dumb and futile, as The Odyssey would stress to us. 

Defying divinity is not heroic. The Odyssey knows this and knows it well. Defying the gods never ends well for humans stupid enough to try in Homer’s work. Our modern sensibilities encourage us to be suspicious of institutionalised power, especially when that power takes a religious shape. We are predisposed to imagine that invocations of the divine are nothing more than thinly-veiled power-grabs. And sometimes they are. But The Odyssey is right to say that divinity itself is not to be trifled with. Renounce your creator at your peril. 

Like all his other films, Nolan’s The Odyssey is likely to be tense, wrought, and cinematographically immaculate. But also like his other films, I worry it will be deeply naturalistic in the way it handles the inescapably divine and supernatural elements present in Homer’s epic. The Odyssey has an important message for our increasingly hubristic society. I just worry that Nolan’s not the man to convey it as it deserves. 

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