“Dimensionality, Perspective, and Imagination in Computational Media” — Talk at UC Berkeley conference on Dimensional Vision in Flux, May 29-31, 2025

I’m excited to be speaking, alongside an amazing lineup of scholars, at a conference this week (May 29-31, 2025) on Dimensional Vision in Flux: The Stereo-Aesthetics and Politics of 3D Cinema and Media, hosted by the Department of Film & Media at UC Berkeley. I’ll be giving a talk on “Dimensionality, Perspective, and Imagination in Computational Media.”

The complete program can be found here. And here’s my abstract:

Dimensionality, Perspective, and Imagination in Computational Media

Dimensional vision finds itself in flux, as the title of this symposium would have it. The flux in question has to do with recent and contemporary transformations in visual media: witness the many booms and busts of 3D cinema, recall the short-lived push to put 3D televisions in our living rooms, and consider the rapidly changing landscape of VR, AR, MR, XR, whatever-R. In order to get a handle on the flux of dimensional vision in relation to such media-technological changes, however, I would like to take a step back and observe that dimensional vision has always and only ever been in flux. I mean this, first, in the sense that dimensionality is given to human experience immediately and inseparably from the spatiotemporal flux of embodied existence; this “microperceptual” dimension (in Don Ihde’s terms) is epitomized in Edmund Husserl’s descriptions of the flux of “adumbrations” as he walks around a tree, whereby a multidimensional model of “the tree,” never wholly seen, takes shape in his mind. In a second, more historical sense, dimensional vision has always been in flux in a way that is more closely attuned to the media changes described above; rather than exceptional, however, such flux is a constant because there is no natural or neutral state apart from mediation: the “microperceptual” level of embodied experience can never be thought apart from what Ihde calls the “macroperceptual” level of cultural and technological conditioning (and vice versa).

Taken seriously, this means that dimensionality and perspectival vision are inherently contingent and deeply political—not just perspectival representation, but the embodied experience of perceptual perspective and spatial orientation itself. And while I argue that this has always been the case for humans as an essentially biotechnical species, the political stakes are heightened in an era of computational media. The latter, including VR and similar media of 3D visuality, operate faster than and bypass human perception, opening dimensional vision to fine-grained reengineering. In order to make this argument, I turn to Kant’s notion of the productive imagination (Einbildungskraft) and the stereotyping operation of the “schematism” that connects visual stimuli to concepts of the understanding. Following philosophers Wilfrid Sellars and Alan Thomas, schemata are perspectivally indeterminate but determinable, and through them the Kantian imagination is responsible for our empirical experience of things as having depth and unseen backsides—responsible, that is, for our sense of the world as a dimensional, volumetric space within which I am positioned. Meanwhile, computational media are constructing their own spatial models of the world (or worlds), models that exceed and resist human perceptual access while positioning us both virtually and physically. In this way, they assume functions of the imagination and modulate the flux of dimensional vision at both microperceptual and macroperceptual scales. 

AI and the Automated Imagination — Keynote at the Spiral Film and Philosophy Conference, Toronto (May 23-24)

Screenshot

Next week, May 23-24, I’ll be giving the keynote at the 5th Spiral Film and Philosophy Conference in Toronto. My talk is titled “AI and the Automated Imagination.”

Find more info at the conference website: https://spiralfilmphilosophy.ca

Roundtable on AI and Media — Sun-ha Hong, Johan Fredrikzon, Julia Irwin, and Hank Gerba at Digital Aesthetics Workshop, May 20, 2025

On May 20, 2025, the Digital Aesthetics Workshop will hold our final event for the year: a roundtable on AI and Media featuring Sun-ha Hong (UNC-Chapel Hill), Johan Fredrikzon (KTH Royal Institute of Technology in Stockholm), Julia Irwin (Stanford University), and Hank Gerba (University of Southern California).

The event will take place from 5:00-7:00pm PT in the Stanford Humanities Center Board Room. Zoom link for those unable to join in-person: tinyurl.com/5n8mdpbb

Schedule :

5:00-5:15: Sun-ha Hong | Ruins of the Technofuture

5:15-5:30: Johan Fredrikzon | Prompting the Dead: Technological Spiritualism in the Age of Machine Learning

5:30-5:45: Julia Irwin | William James’s Neural Network, Fringe Consciousness, and Historical Time

5:45-6:00: Hank Gerba | The Generative Image

6:00-7:00: Q&A

Sun-ha Hong | Ruins of the Technofuture

Where are the ruins of artificial intelligence and the data-driven future, and what do they have to tell us? While abandoned data centres, electronics waste landfills, and vast mineral mining operations already cover large swathes of the planet in material destruction, we must also think of technofutures’ gleaming monuments as ruin: the litany of prototypes never to be built, the construction lots of AI-fuelled smart cities and utopian colonies (Neom), the loudly announced then quietly shriveled infrastructure projects (Stargate).

I will suggest three distinct genres of ruin, and the different theories of technological futures they prescribe: (1) the disavowed ruin, and contemporary AI futures’ total denial of decay and historicity, exemplified by the Bezos-funded 10,000 Year Clock; (2) the manufactured ruin, theorised by Albert Speer, the chief architect of the Third Reich; (3) the redemptory ruin in which, Walter Benjamin tells us, ruins provide a progressive alternative for articulating future visions.

Sun-ha Hong examines forms of uncertainty, doubt, speculation and (dis)belief around surveillance, smart machines & AI. He is Associate Professor in Data Science and Communication at UNC-Chapel Hill, and previous haunts include Stanford, Simon Fraser University, MIT and Penn. Sun-ha once wrote Technologies of Speculation (2020), and will one day complete Predictions Without Futures.

Johan Fredrikzon | Prompting the Dead: Technological Spiritualism in the Age of Machine Learning

Technical media of recording and playback have, since the 19th century at least, been employed in attempts to contact the spirits of the dead. In these histories of technological spiritualism, humans themselves have often played the role of “media.” In this talk, I compare the mid 20th century phenomenon of Electronic Voice Phenomena (EVP) where tape recorders allegedly picked up messages from “the other side” with so called deadbots: machine learning systems trained to simulate deceased people. In particular, the talk will note the significance of error and labor in these practices and how they distribute the effort of interpretation between user and machine.

Johan Fredrikzon is a researcher at the Division of History of Science, Technology and Environment at KTH Royal Institute of Technology in Stockholm. He is currently a visiting scholar at Stanford University. In 2022–2024 he was a visiting postdoc fellow at The University of California, Berkeley. Fredrikzon holds a Master of Computer Science from Stockholm University where he also received his Ph.D. in the History of Ideas in 2021. In his research, Fredrikzon has been interested in problems of erasure, disappearance, waste, and decay as conditioned by processes of data management, office work, and archival practices. During 2018–19 he was a research affiliate at Yale University. Fredrikzon’s current research project is a three-year study of the history of artificial intelligence (AI) from the perspective of errors and mistakes in humans and machines respectively, funded by the Swedish Research Council.

Julia Irwin | William James’s Neural Network, Fringe Consciousness, and Historical Time

This talk situates philosopher-psychologist William James as an originator of the neural network concept. I recover his ideas about the human mind and brain’s “fringe” qualities, which I argue are a precedent condition for human reason and creativity. Fringe consciousness is an ambiguous sensation—like the contents of one’s peripheral vision—that opens up the habituating nervous system to the possibility of novelty. It is also the very element within the mind and brain that cyberneticians overlooked; indeed, the electromechanical replication of the nervous system was possible because of the elision of fringe consciousness.

Contemporary discourse on AI either takes the position that statistically driven AI can merely rearrange past phenomena in the dataset or that deep-learning systems’ capacity to re-write their own objectives will bring about unprecedented calamity. History is either frozen or marked by an imminent radical break. Yet neither stance helps us understand what it means to be an agent of history in the age of artificial intelligence. In re-animating James’s concept, I articulate a new path for thinking with and against today’s intelligent machines, one that pushes us beyond replacement vs. augmentation narratives.

Julia Irwin is currently a postdoctoral fellow in the Department of Art and Art History and the Institute for Human-Centered AI at Stanford University. She researches the history and philosophy of artificial intelligence, with a focus on the relationship between theories of intelligence and automation. Her writing has appeared in Grey Room, Film History, and Ki (Qui Parle). She holds a PhD in Film & Media from UC Berkeley.

Hank Gerba | The Generative Image

What does artificial intelligence signal about the nature of images? This talk investigates the way in which AI externalizes and operationalizes the imaginative capacities which influence the genetic process of image-formation.

Hank Gerba holds a Ph.D from Stanford’s Film & Media Program within the Art & Art History Department. Their work focuses on media aesthetics and AI. Currently, Hank is a researcher at the University of Southern California, combining narrative theory with generative AI.

Unintended Outcomes: AI in the Artist’s Studio — Roundtable at SF Art Fair, April 20, 2025

This coming Sunday, April 20, I’ll be on a roundtable with Halim Madi, Jill Miller, and Asthma Kazmi, moderated by Kate Hollenbach, organized by Gray Area at the San Francisco Art Fair.

In today’s cultural landscape, artificial intelligence has moved beyond buzzword status: machine learning-driven processes are thoroughly integrated—both visibly and invisibly—into the tools we use every day. Hailed as democratizing digital labor yet decried for diluting human creativity and agency, AI is clearly here to stay. As creators continue to experiment with AI, what has stuck? Beyond the hype, which tools and processes are making a real difference in artists’ studios, and how is that impacting a broader visual culture? How can artists reclaim agency over algorithmic processes, and take command of their own learning models? In this panel discussion presented by Gray Area, scholars of AI aesthetics and visual practitioners working with AI, will come together to map the current state of artificial intelligence and artistic creation. The panel includes Shane Denson (Professor, Stanford University Department of Communication), Halim Madi (Programmer, poet, and storyteller), Jill Miller (Visual artist and Professor, Department of Art Practice, UC Berkeley), and Asma Kazmi (artist). The discussion will be moderated by Kate Hollenbach, Education Director, Gray Area. 

More info here: https://sanfranciscoartfair.com/events/unintended-outcomes-ai-in-the-artists-studio/

“The Productivity of Artificial Flatness” — Sybille Krämer at Digital Aesthetics Workshop, April 8, 2025

We’re delighted to welcome our next speaker for the Digital Aesthetics Workshop, the first of the Spring quarter. Sybille Krämer present on “The Productivity of Artificial Flatness: On Digitality, The Cultural Technique of Flattening, and Artificial Intelligence” on Tuesday, April 8, from 5-7pm PT. The event will take place in the Board Room at the Stanford Humanities Center, where refreshments will be served.

Zoom link for those unable to join in-person: tinyurl.com/38vjpaz6

Abstract:

Do chatbots understand human language? This is one of the most debated issues about contemporary artificial intelligence, oscillating between the opposing answers ‘able to understand’ (meaning-sensitive) and ‘unable to understand’ (meaning-blind). In this talk, I argue in favor of meaning blindness by highlighting several issues that are not considered enough in the debate. My arguments are based on a media-philosophical and cultural-technical approach. Artificial intelligence is becoming a ‘cultural technique’ in transitioning from print culture to digital literacy. However, it is an alien and non-human kind of performing intelligence and processing language. Not similarity and homology but difference and diversity are the foundations for successful interaction between humans and AI. This is explained by analogy with the ‘cultural technique of flattening’: Projecting visual and textual information into the two-dimensionality of inscribed and illustrated surfaces is not deformation and impoverishment, but a creative force. What is the key to the scientific and artistic productivity of artificial flatness (images, writings, diagrams, maps, screens)? And what is the connection between the cultural technique of flattening and Chatbots’ token-statistical operations?

Speaker Bio:

Sybille Krämer was a Full Professor for Philosophy at the Free University Berlin; since retirement in 2018, a guest professor at the Institute Cultures and Aesthetics of Digital Media, Leuphana University Lueneburg. Previously a member of the German ‘Scientific Council’ (2000-2006), of the European Research Council (2007-2014)); member of the ‘Senat’ of the ‘German Research Foundation’ (2009-2015), ‘Permanent Fellow’ at the ‘Wissenschaftskolleg’ zu Berlin/ Institute for Advanced Study (2005-2008). Several International Visiting Professorships and Fellowships (Oxford, UC Santa Barbara, Yale, Vienna, Seoul, Shanghai, Tokyo); 2016 Honorary Doctorate by Linköping University/Sweden.

This event is generously co-sponsored by the Stanford Literary Lab.

GlitchesAreLikeWildAnimalsInLatentSpace! CANINE! — Karin + Shane Denson

CANINE! (2024)

Karin & Shane Denson

Canine! is a part of the GlitchesAreLikeWildAnimalsInLatentSpace! series of AI, generative video, and painting works. Inspired in equal parts by glitch-art vernaculars, the chronophotography of Eadweard Muybridge and Étienne-Jules Marey, the cut-up methods of Brion Gysin and William Burroughs, and generative practices from Oulipo to Brian Eno and beyond, our ongoing series GlitchesAreLikeWildAnimalsInLatentSpace! stages an encounter between human imagination and automated image-making — including the mental “schematisms” theorized by Kant and now embodied in algorithmic stereotypes.

This is a screen recording of a real-time, generative/combinatory video.

Canine! is a sort of “forest of forking paths,” consisting of 64 branching and looping pathways, with alternate pathways displayed in tandem, along with generative text, all composited in real time. It is mathematically possible but virtually impossible that the same combination of image, sound, and text will ever be repeated.

The underlying video was generated in part with RunwayML (https://runwayml.com). Karin’s glitch paintings (https://karindenson.com) were used to train a model for image generation. Prompting the model with terms like “Glitches are like wild animals” (a phrase she has been working with for years, originally found in an online glitch tutorial, now offline), and trying to avoid the usual suspects (lions, tigers, zebras), produced a set of species-indeterminate canines, which Karin painted with acrylic on canvas. The painting was fed back into RunwayML as the seed for a video clip (using Gen-2 in spring/summer 2024), which was extended a number of times in branching paths before looping back. The resulting video was glitched with databending methods (in Audacity). The soundtrack was produced by feeding a jpg of the original canine painting into Audacity as raw data, interpreted with the GSM codec.

Onscreen and spoken text is generated by a Markov model trained on Shane’s article “Artificial Imagination” (https://ojs.library.ubc.ca/index.php/cinephile/article/view/199653).

Made with Max 8 (https://cycling74.com/products/max) on a 2023 Mac Studio (Mac 14,14, 24-core Apple M2 Ultra, 64 GB RAM) running macOS Sonoma (14.6.1). Generative text is produced with Pavel Janicki’s MaxAndP5js Bridge (https://www.paweljanicki.jp/projects_maxandp5js_en.html) to interface Max with the p5js (https://p5js.org) version of the RiTa tools for natural language and generative writing (https://rednoise.org/rita/). Jeremy Bernstein’s external Max object, shell 1.0b3 (https://github.com/jeremybernstein/shell/releases/tag/1.0b3), passes the text to the OS for text-to-speech.

See also: Bovine! (https://vimeo.com/manage/videos/1013903632)

GlitchesAreLikeWildAnimalsInLatentSpace! BOVINE! — Karin + Shane Denson (2024)

BOVINE! (2024)
Karin & Shane Denson

Bovine! is a part of the GlitchesAreLikeWildAnimalsInLatentSpace! series of AI, generative video, and painting works. Inspired in equal parts by glitch-art vernaculars, the chronophotography of Eadweard Muybridge and Étienne-Jules Marey, the cut-up methods of Brion Gysin and William Burroughs, and generative practices from Oulipo to Brian Eno and beyond, our ongoing series GlitchesAreLikeWildAnimalsInLatentSpace! stages an encounter between human imagination and automated image-making.

The above video is a screen recording of a real-time, generative/combinatory video. There are currently two versions:

Bovine.app displays generative text over combinatory video, all composited in real time. It is mathematically possible but virtually impossible that the same combination of image, sound, and text will ever be repeated.

Bovine-Video-Only.app removes text and text-to-speech elements, and only features generative audiovideo, which is assembled randomly from five cut-up versions of a single video, composited together in real-time.

The underlying video was generated in part with RunwayML (https://runwayml.com). Karin’s glitch paintings (https://karindenson.com) were used to train a model for image generation.

Karin Denson, Training Data (C-print, 36 x 24 in., 2024)

Prompting the model with terms like “Glitches are like wild animals” (a phrase she has been working with for years, originally found in an online glitch tutorial, now offline), and trying to avoid the usual suspects (lions, tigers, zebras), produced a glitchy cow, which Karin painted with acrylic on canvas:

Karin Denson, Bovine Form (acrylic on canvas, 36 x 24 in., 2024)

The painting was fed back into RunwayML as the seed for a video clip (using Gen-2 in spring/summer 2024), which was extended a number of times. The resulting video was glitched with databending methods (in Audacity). The soundtrack was produced by feeding a jpg of the original cow painting into Audacity as raw data, interpreted with the GSM codec. After audio and video were assembled, the glitchy video was played back and captured with VLC and Quicktime, each of which interpreted the video differently. The two versions were composited together, revealing delays, hesitations, and lack of synchronization.

The full video was then cropped to produce five different strips. The audio on each was positioned accordingly in stereo space (i.e. the left-most strip has its audio turned all the way to the left, the next one over is half-way from the left to the center, the middle one is in the center, etc.). The Max app chooses randomly from a set of predetermined start points where to play each strip of video, keeping the overall image more or less in sync.

Onscreen and spoken text is generated by a Markov model trained on Shane’s book Discorrelated Images (https://www.dukeupress.edu/discorrelated-images), the cover of which featured Karin’s original GlitchesAreLikeWildAnimals! painting.

Made with Max 8 (https://cycling74.com/products/max) on a 2023 Mac Studio (Mac 14,14, 24-core Apple M2 Ultra, 64 GB RAM) running macOS Sonoma (14.6.1). Generative text is produced with Pavel Janicki’s MaxAndP5js Bridge (https://www.paweljanicki.jp/projects_maxandp5js_en.html) to interface Max with the p5js (https://p5js.org) version of the RiTa tools for natural language and generative writing (https://rednoise.org/rita/). Jeremy Bernstein’s external Max object, shell 1.0b3 (https://github.com/jeremybernstein/shell/releases/tag/1.0b3), passes the text to the OS for text-to-speech.

Karin Denson, Bovine Space (pentaptych, acrylic on canvas, each panel 12 x 36 in., total hanging size 64 x 36 in., 2024)

“Artificial Imagination” — Out now in new issue of Cinephile (open access)

The new issue of Cinephile, the University of British Columbia’s film and media journal, is just out. The theme of the issue is “(Un)Recovering the Future,” and it’s all about nostalgia, malaise, history, and (endangered) futurities.

In this context, I am happy to have contributed a piece called “Artificial Imagination” on the relation between AI and (visual) imagination. The essay lays some of the groundwork for a larger exploration of AI and its significance for aesthetics in both broad and narrow senses of the word. It follows from the emphasis on embodiment in my essay “From Sublime Awe to Abject Cringe: On the Embodied Processing of AI Art,” recently published in Journal of Visual Culture, as part of a larger book project tentatively called Art & Artificiality, or: What AI Means for Aesthetics.

Thanks very much to editors Will Riley and Liam Riley for the invitation to contribute to this issue!

Sunset with a Sky Background — Screening and discussion on AI Aesthetics with filmmaker J. Makary and respondent Caitlin Chan

On May 7, 2024 (4:30pm in McMurtry 115), the Critical Making Collaborative at Stanford is proud to present a screening of Sunset with a Sky Background, followed by a discussion on AI aesthetics with filmmaker J. Makary and respondent Caitlin Chan.

J. Louise Makary is a filmmaker and Ph.D. candidate in art history specializing in film studies and lens-based art practices. She is interested in using methodologies foundational to the study of cinema, such as psychoanalysis and semiotics, to interpret emergent visual forms of A.I. with film in mind. Her works have been exhibited at ICA Philadelphia, Bauhaus University, the Slought Foundation, Mana Contemporary (Jersey City and Chicago), Human Resources LA, Moore College, SPACES Cleveland, and the Spring/Break Art Show.

Caitlin Chan is a second year Ph.D. student in art history. She is currently working on a project that historicizes the aesthetics and phenomenology of A.I.-generated images by tracing a genealogy to early 19th-century photographic practices of making and viewership.

“Dancing Technologies: Integrated Movement, Drones, and Posthuman Blackness” — Raissa Simpson, Marc Chappelle, and John Eric Henry at Critical Making Collaborative, April 26, 2024

The Critical Making Collaborative is proud to present Raissa Simpson, John Eric Henry, and Marc Cunanan Chappelle, who will be discussing their work with AI and drones on Friday, April 26 at 4:30pm in Roble 139.