Essay

AI - Artificial Intelligence

Culture

19 March 2024

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

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

Article

Art

Culture

Film & TV

21 January 2025

5 min read

The constant pull of David Lynch’s direction

What made the director’s films so universally resonant?

Sonny Tindall

Sonny works creatively with videography, graphic design, fashion, and photography.

Lynch painting.

At the age of 16, initially wanting to experience the infamous performances of actors, John Hurt and Anthony Hopkins, I decided to watch The Elephant Man (1980). This was the film that opened up the weird and wonderful world of director, David Lynch, a world I immediately wanted to dive headfirst into.

I did so by watching the film that became the catalyst for world-renowned director and producer, Mel Brooks, offering Lynch the chance to direct The Elephant Man. The film in question? His very first, Eraserhead (1977).

It was, and remains to this day, the most singular cinematic experience of my life.

I’m of the opinion that almost all filmmakers fall in to one of two categories; those who become artists through the medium of filmmaking, and those who are already artists who choose the vehicle of filmmaking to create their art. David Lynch is, for me at least, the ultimate embodiment of the latter. Proof of such can be found in his status as a renaissance man.

Originally a painter, a practice he continued throughout his life, his desire to transition to making films was borne out of wanting to see his paintings move. He was also an actor, a musician, and sound designer. Not to mention, a furniture designer who regularly built props for his films, author of several books and designer of his very own comic book.

The television show, Twin Peaks, is perhaps the best example of just how impossible it was to bind Lynch to a single artistic form. The seminal TV show revolutionised what television could be, as it was the first show to stray from the episodic storytelling format, instead choosing to follow one continual storyline through an entire series.

David Lynch exists within an exclusive category of artists, those whose names have become an adjective. Lynchian, similar to Kafkaesque, Brechtian or Daliesque, is recognised as an official word in the Oxford dictionary. An eponymous adjective is an honour reserved for only the most unique and distinct of artists.

Although it could be argued that the term – Lynchian - is now too loosely applied to anything deemed to be somewhat counter-cultural within mainstream cinema, its true meaning relates to the often indefinable style and voice of the man himself.

He invoked the spiritual depths of us, the existential longings and cravings, the questions that seem intrinsic to the human condition, the wonderings that feel as though they originate from somewhere deep within us, our souls, perhaps.

I’ve come to think that it’s the ultimately the spiritual essence of Lynch’s films that make them truly unique, and him a worthy recipient of an eponymous adjective. Lynch’s films exist within their own world, frequently reminiscent of a dream.

Sometimes euphoric, often a nightmare.

He was an avid practitioner and advocate of transcendental meditation, so it’s perhaps not too surprising that when speaking on his creative process, Lynch attributed many of his creative ideas as emerging from his own subconscious through the practices of meditation and daydreaming. He’s often compared ideas to the act of fishing, they aren’t created, they already exist, you’ve just got to have the right bait to catch them.

I wonder if this process is what makes the worlds housed within Lynch’s films unlike any others. He invites us into his own subconscious, by allowing it to bleed out onto the screen.

Despite his allusivity in style and format, what I’ve always found most confounding about David Lynch’s work is its universality.

I feel as though the term ‘fringe artist’ has scarcely been better applied to anyone other than Lynch.

How has a man who’s created some of the boldest, most avant-garde and, at times, downright disturbing art of the last century picked up four Oscar nominations (and an honorary win), a Masterclass and a Disney movie (The Straight Story)?

Surely translating your own subconscious, something we view as idiomatic to each individual person, onto the screen is a guaranteed recipe for alienating your audience?

So why does Lynch’s work, instead of pushing us away, so consistently pull us in?

I could pontificate on the different potential techniques Lynch employed to keep his work just grounded enough to allow us to relate to it. His films being rooted in instantly recognisable symbols of Americana, for example. Or perhaps his deployment of easily digestible genres and conventions, Twin Peaks is a melodramatic murder mystery TV show, Blue Velvet (1986) and Mulholland Drive (2001) are, at their core, noir films and even Wild at Heart (1990) is a textbook road movie.

But Lynch’s work has taught me to dig far deeper than that.

He invoked spiritual depths of us, the existential longings and cravings, the questions that seem intrinsic to the human condition, the wonderings that feel as though they originate from somewhere deep within us, our souls, perhaps.

That, for me at least, is the answer to his universality.

But how did he do it?

As has already been mentioned, it’s by mining his own subconscious and the spiritual within himself, and allowing it to flow into the worlds he created. But, most importantly, he never definitively characterised these things, he simply let them exist, depicted them. His work doesn’t come to us with the answers, it comes to us with questions. David Lynch’s questions: questions about the world. Questions about himself.

The very same questions we all ask ourselves on a daily basis: is evil within us or is it the product of what is around us? How can we allow light to prevail over darkness?

His work allows us to sit, ruminate, and respond to those questions.

I didn’t anticipate how profound of an effect David Lynch’s passing would have on me. It’s undoubtedly the strongest feeling of loss and grief I’ve felt from the passing of someone in the public sphere.

So deep were my feelings that I felt I needed to process it through the writing of this piece.

And despite the myriad of feelings and thoughts that have been swirling around my head since originally reading the news headline, I find myself continually returning to the very first thought I had. It was a quote from American comedian, Theo Von. When mourning the death of fellow comedian, Norm Macdonald, Theo said,

‘It feels like you’re losing a book that nobody has copies of.’

I feel despair that I’ll never be able to see the world through David Lynch’s eyes again. But I find great comfort that he, through his art, has passed his vision onto us, ensuring that we’ll always be able to see the Lynchian in our world.