Review
AI
Art
Culture
5 min read

Art, AI and apocalypse: Michael Takeo Magruder addresses our fears and questions

The digital artist talks about the possibilities and challenges of artificial intelligence.

Jonathan is Team Rector for Wickford and Runwell. He is co-author of The Secret Chord, and writes on the arts.

A darkened art gallery displays images and screens on three walls.
Takeo.org.

In the current fractured debate about the future development of Artificial Intelligence (AI) systems, artists are among those informing our understanding of the issues through their creative use of technologies. British-American visual artist Michael Takeo Magruder is one such, with his current exhibition Un/familiar Terrain{s} infusing leading-edge AI systems with traditional artistic practices to reimagine the world anew. In so doing, this exhibition pushes visitors to question the organic nature of their own memories and the unsettling notions of automatic processing, misattribution, and reconstruction. 

The exhibition uses personal footage of specific places of renowned natural beauty that has been captured on first generation AI-enabled smartphones. Every single frame of the source material has then been revised, reworked, and rebuilt into digital prints and algorithmic videos which recast these captured moments as uncanny encounters. In this exhibition at Washington DC’s Henry Luce III Center for the Arts & Religion, the invisible work of the AI allows people to experience more than there ever was, expanding both time and space. 

Magruder has been using Information Age technologies and systems to examine our networked, media-rich world for over 25 years. A residency in the Department of Theology and Religious Studies at King’s College London resulted in De/coding the Apocalypse, an exhibition exploring contemporary creative visions inspired by and based on the Book of Revelation. Imaginary Cities explored the British Library’s digital collection of historic urban maps to create provocative fictional cityscapes for the Information Age. 

JE: You are a visual artist who works with emerging media including real-time data, digital archives, VR environments, mobile devices, and AI processes. What is it about the possibilities and challenges of emerging media that captures your artistic imagination? 

MTM: As a first-generation digital native, computer technologies – and the evolving range of potentials they offer – have deeply informed my life and art. Computational media not only opens different avenues for artistic expression but provides a novel means to recontextualise traditional artforms and histories of practice; its ephemeral nature is a particular draw. However, this also creates new challenges, especially in areas concerning preservation and access. I sometimes wonder if my art will still exist for future generations to experience in full, or if it will simply fade alongside the technologies that I’ve used in its production. 

JE: To what extent does Un/familiar Terrain{s} build on past exhibitions like Imaginary Landscapes and Imaginary Cities, and to what extent does it break new ground for you? 

MTM: Un/familiar Terrain{s} certainly arises from and expands on the artistic concepts of those past projects. The main difference is that each artwork in Un/familiar Terrain{s} is generated from a small sample of personal data (a scenic moment that I’ve captured intentionally), not digital materials gleaned from large public archives and online collections.      

JE: Do you find that working with images of the natural world (as is the case with this exhibition) as opposed to images of human-made environments (as you did with 'Imaginary Cities') leads to different approaches or inspiration on your part? 

MTM: My projects that explore constructed environments often reference principles of Modernist architecture and design whereas my pieces in Un/familiar Terrain{s} explicitly seek to dialogue with the long history of Western landscape art. The AI systems that I have used in their creation are leading edge but conversely, their conceptual references extend back to long before the onset of what we consider ‘modern’ art.  

JE: I've heard many artists criticise digital art in terms of degrading the principal tools and techniques of artists throughout history and those arguments would be made even more vigorously in relation to AI. In this exhibition you're enabling a conversation about the painterly effects you can create as a digital artist and those that can be achieved through AI, yet without leading us to one side or other of that argument. Is your vision essentially one of wanting to see the possibilities in whatever tools, techniques or technologies we have to hand? 

MTM: Absolutely. For me that’s one of the fundamental purposes of art. AI is unquestionably the most disruptive (and potentially problematic) technology affecting creative communities at present, but it’s just the most recent historical example. I imagine similar criticisms arose during the proliferation of devices like the printing press and the first photographic cameras. Such inventions clearly did not ‘degrade’ art, but they indisputably shifted its trajectory. 

JE: While your work is not expressly religious, you have engaged with theological themes and institutions as with Un/familiar Terrain{s}, which is on show at Wesley Theological Seminary in Washington DC. What do you think it is about your work and the ways you use and explore emerging media that enables such a dialogue to take place?  

MTM: I feel that many of the social and ethical questions raised by the emergence of transformative digital technologies are quite similar (and sometimes identical) to ones that have been traditionally posed by theologians. With that in mind, although the fields are quite different in many ways, at present there are some strange and compelling intersections. 

JE: From your experience, what can theological or religious institutions learn from a more engaged involvement with emerging media, particularly AI? 

MTM: Like artists, perhaps theologians can use emerging (and disruptive) media to not only expand possibilities for their work, but more importantly, to refocus their efforts towards areas that these technologies cannot presently (and will likely never) address. 

JE: Apocalyptic scenarios are often invoked in response to developments such as AI, the refugee crisis, populist political movements or the climate emergency. In De/coding the Apocalypse, you worked with emerging media to explore contemporary creative visions inspired by and based on the Book of Revelation. From that experience, what advice would you give to emerging artists wanting to engage with or invoke apocalyptic imagery? How might emerging artists live in the shadow of apocalypse or what have you noticed about our contemporary fear of modern apocalypses? 

MTM: Throughout history, visions of apocalypse have been consistently rooted in humanity’s prevailing fears. In the Digital Age these sit alongside our growing concerns about technologies that afford increasingly greater potential to create or destroy. Of course, artists should continue to reveal the deeply problematic (and potentially apocalyptic) aspects of new technologies, but they should also highlight their positive aspects to encourage the creation of “a new heaven and a new earth” that can be a better place for all. 

 

Un/familiar Terrain{s}, 30 May – 18 September 2024, The Dadian Gallery, Henry Luce III Center for the Arts & Religion.

Article
AI
Attention
Culture
5 min read

Will AI’s attentions amplify or suffocate us?

Keeping attention on the right things has always been a problem.

Mark is a research mathematician who writes on ethics, human identity and the nature of intelligence.

A cute-looking robot with big eyes stares up at the viewer.
Robots - always cuter than AI.
Alex Knight on Unsplash.

Taking inspiration from human attention has made AI vastly more powerful. Can this focus our minds on why attention really matters? 

Artificial intelligence has been developing at a dizzying rate. Chatbots like ChatGPT and Copilot can automate everyday tasks and can effortlessly summarise information. Photorealistic images and videos can be generated from a couple of words and medical AI promises to revolutionise both drug discovery and healthcare. The technology (or at least the hype around it) gives an impression of boundless acceleration. 

So far, 2025 has been the year AI has become a real big-ticket political item. The new Trump administration has promised half a trillion dollars for AI infrastructure and UK prime minister Keir Starmer plans to ‘turbocharge’ AI in the UK. Predictions of our future with this new technology range from doom-laden apocalypse to techno-utopian superabundance. The only certainty is that it will lead to dramatic personal and social change. 

This technological impact feels even more dramatic given the relative simplicity of its components. Huge volumes of text, image and videos are converted into vast arrays of numbers. These grids are then pushed through repeated processes of addition, multiplication and comparison. As more data is fed into this process, the numbers (or weights) in the system are updated and the AI ‘learns’ from the data. With enough data, meaningful relationships between words are internalised and the model becomes capable of generating useful answers to questions. 

So why have these algorithms become so much more powerful over the past few years? One major driver has been to take inspiration from human attention. An ‘attention mechanism’ allows very distant parts of texts or images to be associated together. This means that when processing a passage of conversation in a novel, the system is able to take cues on the mood of the characters from earlier in the chapter. This ability to attend to the broader context of the text has allowed the success of the current wave of ‘large language models’ or ‘generative AI’. In fact, these models with the technical name ‘Transformer’ were developed by removing other features and concentrating only on the attention mechanisms. This was first published in the memorably named ‘Attention is All You Need’ paper written by scientists working at Google in 2017. 

If you’re wondering whether this machine replication of human attention has much to do with the real thing, you might be right to be sceptical. That said, this attention-imitating technology has profound effects on how we attend to the world. On the one hand, it has shown the ability to focus and amplify our attention, but on the other, to distract and suffocate it. 

Attention is a moral act, directed towards care for others.

A radiologist acts with professional care for her patients. Armed with a lifetime of knowledge and expertise, she diligently checks scans for evidence of malignant tumours. Using new AI tools can amplify her expertise and attention. These can automatically detect suspicious patterns in the image including very fine detail that a human eye could miss. These additional pairs of eyes can free her professional attention to other aspects of the scan or other aspects of the job. 

Meanwhile, a government acts with obligations to keep its spending down. It decides to automate welfare claim handling using a “state of the art” AI system. The system flags more claimants as being overpaid than the human employees used to. The politicians and senior bureaucrats congratulate themselves on the system’s efficiency and they resolve to extend it to other types of payments. Meanwhile, hundreds of thousands are being forced to pay non-existent debts. With echoes of the British Post Office Horizon Scandal, the 2017-2020 the Australian Robo-debt scandal was due to flaws in the algorithm used to calculate the debts. To have a properly functioning welfare safety net, there needs to be public scrutiny, and a misplaced deference to machines and algorithms suffocated the attention that was needed.   

These examples illustrate the interplay between AI and our attention, but they also show that human attention has a broader meaning than just being the efficient channelling of information. In both cases, attention is a moral act, directed towards care for others. There are many other ways algorithms interact with our attention – how social media is optimised to keep us scrolling, how chatbots are being touted as a solution to loneliness among the elderly, but also how translation apps help break language barriers. 

Algorithms are not the first thing to get in the way of our attention, and keeping our attention on the right things has always been a problem. One of the best stories about attention and noticing other people is Jesus’ parable of the Good Samaritan. A man lies badly beaten on the side of the road after a robbery. Several respectable people walk past without attending to the man. A stranger stops. His people and the injured man’s people are bitter enemies. Despite this, he generously attends to the wounded stranger. He risks the danger of stopping – perhaps the injured man will attack him? He then tends the man’s wounds and uses his money to pay for an indefinite stay in a hotel. 

This is the true model of attention. Risky, loving “noticing” which is action as much as intellect. A model of attention better than even the best neuroscientist or programmer could come up with, one modelled by God himself. In this story, the stranger, the Good Samaritan, is Jesus, and we all sit wounded and in need of attention. 

But not only this, we are born to imitate the Good Samaritan’s attention to others. Just as we can receive God’s love, we can also attend to the needs of others. This mirrors our relationship to artificial intelligence, just as our AI toys are conduits of our attention, we can be conduits of God’s perfect loving attention. This is what our attention is really for, and if we remember this while being prudent about the dangers of technology, then we might succeed in elevating our attention-inspired tools to make AI an amplifier of real attention. 

Join with us - Behind the Seen

Seen & Unseen is free for everyone and is made possible through the generosity of our amazing community of supporters.

If you’re enjoying Seen & Unseen, would you consider making a gift towards our work?

Alongside other benefits (book discounts etc.), you’ll receive an extra fortnightly email from me sharing what I’m reading and my reflections on the ideas that are shaping our times.

Graham Tomlin

Editor-in-Chief