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

Review

Culture

Film & TV

Identity

Weirdness

9 December 2024

5 min read

Nightbitch’s metamorphosis of motherhood

In parenting the best things in life cost everything and nothing.

Krish Kandiah

Krish is a social entrepreneur partnering across civil society, faith communities, government and philanthropy. He founded The Sanctuary Foundation.

A woman runs down a street at night accompanied by dogs

Amy Adams, running with the dogs.

Searchlight Pictures.

With birth rates declining, family breakdown increasing and what has been called an anxiety epidemic amongst children, a film about the raw challenges of motherhood – aimed at men as much as women - has to make us sit up and take notice.

Nightbitch does exactly that. Based on Rachel Yoder’s lockdown novel of the same name, it tells the story of a stay-at-home mum who, faced with the brutal realities of modern-day mothering, discovers her feral side – and transforms into a dog.

The film stars Amy Adams, an exceptional actress known for her roles in Arrival—a Denis Villeneuve masterpiece about aliens arriving on Earth—and other iconic films like Man of Steel (as Lois Lane), Enchanted (where she plays the central character), and Night at the Museum (as Amelia Earhart). In this film she delivers a powerful and deeply emotional performance as another alienated character, once a successful artist with a promising career, now reduced to part-parent, part-nightbitch.

The plot has echoes of Franz Kafka’s The Metamorphosis, where travelling salesman Gregor Samsa wakes up one day to find himself transformed into a giant insect. While Samsa’s arthropod transformation signifies entrapment and helplessness, Amy’s canine alter-ego provides a contrasting sense of liberation, offering her an empowering path of fierce self-assertion amid the demands of motherhood that have become overwhelming and suffocating. Nevertheless, both magical realism narratives use animal transformation to explore profound feelings of loss of identity, isolation and inequality - themes that are especially relevant in a time when pressures on families are immense.

Identity loss

Introducing herself to a group of new mothers, Amy’s character, who remains nameless throughout, says, “I used to be an artist.” Her inability to articulate who she is reflects so much: her loss of purpose, loss of social identity, loss of external validation, loss of financial independence, loss of cognitive functions, loss of self-worth. But it is not only her transformation into a dog that depicts this. There’s a poignant moment as the film opens when Amy bumps into the woman who has taken her old job. The stark contrast between their appearances—Amy looks pretty rough compared to her perfectly turned-out replacement—highlights just how different her life now is. It seems to me that this image of identity loss will resonate with all who face the struggle to reclaim oneself after a major life event, but especially with new mothers.

Isolation

Though Amy’s character is married, her husband is often absent, working long hours to provide financially. When he is home, he seems to want the pre-motherhood version of his wife, engaging only in the lighter aspects of parenting while avoiding the ongoing challenges. This dynamic leaves Amy’s character feeling alone and disconnected from her husband. Not only that, Amy’s initial attempts to connect with other mothers at her child’s nursery fall flat. Although they share the bond of motherhood, she finds their conversations unfulfilling. Similarly, when she reconnects with her old work friends, she discovers their lives have moved on without her, deepening her sense of displacement. She doesn’t fit in at home, at work, or in her community. She is trapped between worlds and is deeply isolated. Nightbitch offers a powerful antidote to Insta-perfect images of parenthood. The stark visual this film provides of the mother running away from the home at night as a dog challenges us to take seriously the need for mothers to escape claustrophobic societal expectations and to find autonomy, community and support.

Inequality

The third key theme explored in the film is the inequality between the male and female experiences of parenthood, as it portrays how much of the burden falls on women. Statistics only confirm the ongoing gender disparities, with women far more likely than men to reduce working hours and sacrifice their career prospects. Women disproportionately shoulder the long-term economic and professional consequences of parenthood, as well as the day-to-day duties of parenting. Add to this the emotional impact of isolation and identity loss, and the burden becomes almost insurmountable. This cumulative strain is faced by all those who are expected to seamlessly transition from independent individuals to selfless caregivers, often with little structural support. The film lays bare how these pressures, left unaddressed, can fracture not only individual lives but the entire stability of the family.

The film left me with questions:

Have I played my part?

As a father, watching this film prompted me to reflect deeply on my own family dynamic. Do we divide responsibilities fairly? Have one person’s dreams or ambitions been side-lined for the sake of the others? Do I overlook or undervalue what my wife does? What happened to the balance we originally envisioned and agreed upon as a couple?

Where is the support?

I also wondered about the structural support needed for those beginning their parenting journey. Then I remembered who facilitates tens of thousands of parent and toddler groups each week across the UK – the Church. Over a third of children under four attend these groups, translating to millions of parents and carers finding access to a lifeline – a welcoming environment and space for connection and mutual support. Do churches know what an important role they are playing? Do new parents know what is available to them there?

Is parenting only a burden?

While the film expresses brilliantly the challenges of parenthood, does it do so at the expense of expressing its joys? In my own experience parenting 30 children through birth, fostering, and adoption in almost the same number of years, I am still trying to work through the paradoxes. How can it be both overwhelming and overwhelmingly enriching. Both lonely, and connect us to the privilege of unconditional love? How is it that in parenting the best things in life cost everything and nothing?

At the London Film Festival Premiere that I attended, Amy Adams also reflected personally on the film:

“It gave me an opportunity to not only tell my relationship with my mother but also my sister and my friends…. There was a deep universality to the experience of motherhood but also the exploration of relationship inside of parenthood,, the relationship with husband. Everything just fell so true, relatable, and funny.”

In the end, Nightbitch is more than a dark, fantastical, funny tale of transformation; it’s a powerful mirror held up to modern family life that everyone can benefit from considering. It challenges traditional gender roles and expectations, inspires reflection on sacrifices and struggles, and provokes important questions about identity, privilege and partnership in the complex journey of parenthood and beyond.