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Wearable AI that’s carbon-neutral and socially acceptable? Damjanski’s A.I. Computer Vision Pin (2025) is a limited edition enamel accessory that reminds us of the pervasiveness of powerful image recognition technology. Inspired by the vibrant object detection sculptures he created for his 2024 solo show at Berlin’s Office Impart, the New York-based internet artist fun-sized the idea into something we can (proudly) wear.

“The Art of Navigation” at Fundación Foto Colectania in Barcelona explores the transformative role of photography in a cultural era marked by fragmentation, hybridization, and disorientation. “Today, photographs are actionable—they construct the space itself,” notes curator Jon Uriarte, presenting works by Sara Bezovšek, James Bridle, Alan Butler, Kyriaki Goni, Simon Weckert, and others that embrace “getting lost” as a form of resistance and critical commentary.

As protests against ICE raids engulf Los Angeles, software artist Kyle McDonald reactivates his ICEspy (2018) counter surveillance tool. The web app that reveals the identity of ICE employees by matching hundreds of scraped LinkedIn profiles was disabled in 2024, when Microsoft, a known ICE contractor, restricted access to its face recognition API. Now, the site is operational again, “running fully on-device,” McDonald announces on social media.

“Model Collapse” dives into generative AI’s feedback loops and cultural distortions at Kunsthalle Wien. The flagship exhibition for Vienna Digital Cultures features works from Arvida Byström, Kate Crawford & Vladan Joler, Mathias Gramoso, Jonas Lund, Eva & Franco Mattes, and Troika, exploring topics ranging from machine vision to deepfake porn. The show embraces how the artifice of LLMs and AI image generation are “destabilizing the very ground on which we stand,” writes curator Nadim Samman.

“For me, it’s a kind of applied research or archaeology. At that point, humans showed the computer for the first time exactly what our world looks like. I found it to be a poetic gesture in retrospect. I emphasize this because I think it’s important.”
– German artist Marcel Schwittlick, discussing the origins of his Caltech Studies (2024) with DAM Projects director Wolf Lieser (full transcript). The series of paintings and plotter drawings revisits the first computer vision dataset that Caltech scientists created in 2003.

Marcel Schwittlick’s “The White Show” at Nguyen Wahed, New York City, juxtapozes three works that demonstrate the German artist’s decade-long research into human-machine gesture. Where Composition #12 (nr1) (2015) draws on Schwittlick’s own cursor choreographies, Caltech Studies (2024)—his newest series—appropriates the collective mouse movements of Caltech scientists creating the first AI dataset. The animals the researchers traced are represented with ink on aluminum and a set of tactile braille prints.

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“PAIN && PLEASURE” at Berlin’s DAM Projects is a first career survey of emerging German artist Marcel Schwittlick that includes his trademark plotter geometries, forays into luminography, and early machine learning experiments. In Caltech Studies (2024), a new series of aluminum paintings and plotter drawings, Schwittlick samples a milestone in AI development: Caltech 101 (2003) is the oldest computer vision dataset, containing 9,000 objects hand-traced by the same scientists that later created ImageNet.

“These ‘errors’ transcend mere technical inadequacies. This original bias propagates throughout the development of machine learning, multiplying across derivative datasets and becoming an inextricable component of the system.”
– Generative artist Marcel Schwittlick, on the problematic legacy of the seemingly innocuous and crudely-traced objects in the historical Caltech 101 dataset. “These systems aspire to a kind of ‘data democracy,’” Schwittlick writes about his Caltech Studies (2024), but the inevitable elimination of peculiarities and anomalies constitutes a “crucial loss.”

Showcasing recent works from his three decades spent building interactive mirrors, Daniel Rozin’s “Contours” opens at Bitforms New York. Presented are One Candle Mirror (2023), an apparatus with 276 lenses that draws on the light of a singular candle, and RGB Lights Mirror (2023, image), a screen of 818 rotating aluminum knobs that reflect an LED screen-like image of the viewer. In aggregate, the new works demonstrate the Israeli-American artist “turning his focus to the outline of the human form.”

A retrospective featuring experiential installations designed by the Icelandic–Danish artist over three decades, “Olafur Eliasson: Your curious journey” opens at the Singapore Art Museum (SAM). Some included works invite play and movement, like the colourful body-tracker Multiple Shadow House (2010), while others provoke, like The glacier melt series 1999/2019 (2019), a time-lapse photo grid that starkly illustrates how global warming has ravaged the Icelandic landscape (image).

Simone C Niquille’s CGI film Beauty and The Beep (2024) premieres at EXPOSED Torino Foto Festival (IT), completing the Dutch artist’s trilogy on cohabitation with computer vision. Following an AI-trained computer model of a ‘smart chair’ trying—struggling—to find a place to sit, the film playfully collages evidence of the modern datafied home: The chair is designed after Bertil, the first IKEA product advertized with synthetic imagery while the parcour resembles Boston Dynamics’ model home for robot dogs.

How (not) to get hit by a self-driving car, an installation and game by Tomo Kihara and Daniel Coppen, opens at San Francisco’s Asian Art Museum. Navigating a mock-street in the gallery, visitors try to make their way across a crosswalk without being detected by a computer vision system. A provocation in a city where autonomous vehicles are regularly involved in accidents, the game underscores “how going unseen by a similar AI system in an actual self-driving car could result in a tragic collision.”

Consumer advocates Public Citizen release “Mushrooming Risk,” a report on the danger of AI tools to foragers. Spurned by recent hospitalizations, researcher Rick Claypool outlines the folly of using apps to identify species and gauge edibility. “Mushroomers must take the time to develop their skills at their own pace,” he writes, championing local knowledge over app reliance. Experimenting with DALL-E compounded his fear; when he prompted it to label basic mushroom anatomy, it hallucinated utter nonsense (image).

OUT NOW:
Altena & Weigl (eds)
{class} On Consequences in Algorithmic Classification
Accompanying an eponymous exhibition, curator Florian Weigl and co-editor Arie Altena enage artists including siblings Bieke and Dries Depoorter, Katja Novitskova, and Mimi Ọnụọha in dialogue about algorithmic classification.
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OUT NOW:
Sanela Jahić
Under the Calculative Gaze
The paperback adaptation of Jahić’s artistic research shown at Aksioma in early 2023 expands on the entanglement of socially-applied technologies, systemic injustices, and creeping authoritarianism. Included: an essay by prominent AI critic Dan McQuillan.
“Could Richard Spencer getting punched in the face be the new default sample material for image and video processing demonstrations? Only time will tell.”
– American artist Sam Lavigne, on his bid to make a clip of smug white supremacist Richard Spencer getting slugged (after the 2017 Trump Inauguration) a default in video processing tests. Contemplating how Lena Forsén became a standard test image in computer vision contexts, Lavigne muses over using the Spencer clip for demos because it has “colour, motion, a human face, and embraces rather than shies away from the element of pleasure.”

Considering compassion and competence, “AI: Who’s Looking After Me?” opens at Science Gallery London. Co-presented with FutureEverything, invited artists including James Bridle, Wesley Goatley, Seo Hye Lee, and Mimi Ọnụọha interrogate “what it means to entrust our care to autonomous machines. ” Blast Theory’s Cat Royale (2023, image), for example, puts Ghostbuster, Pumpkin, and Clover in the custody of a computer vision system and robot arm, which monitor, tend to, and play with the three felines.

OUT NOW:
James E. Dobson
The Birth of Computer Vision
Providing a “genealogy of image-recognition techniques and technologies,” cultural critic Dobson reveals the Cold War origins and enduring biases that continue to shape automated perception.
OUT NOW:
Sarah Tuck
Drone Vision: Warfare, Surveillance, Protest
Drawing on her two-year research project with Zahoor Ul Akhlaq Gallery, Hasselblad Foundation, and NiMAC, Tuck and 16 contributors consider the “visibility and verticality” of drone technology as attack vectors for arts and activism.
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