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Newsticker, link list, time machine: HOLO.mg/stream logs emerging trajectories in art, science, technology, and culture––every day

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.

U
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.

Trevor Paglen’s solo exhibition “A Color Notation” opens at Pace’s recently expanded arts complex in Seoul. The show presents new and recent landscape photography (image: Near Bodega Bay Deep Semantic Image Segments, 2022) the American artist interpreted through custom-built computer vision systems and AI. “Through his masterful manipulation of these technologies, Paglen brings questions of perception to the fore of his image making practice,” Pace notes.

“A human operator tags the ends of the intestine with drops of fluorescent glue, creating markers the robot can track.”
– Science journalist James Gaines, describing the computer vision workflow that allowed the Smart Tissue Autonomous Robot (STAR) prototype to recently successfully perform intestinal surgery on pig tissue
“It takes a filter designed for people of colour to make us realize the extent to which most filters aren’t.”
– Writer Leo Kim, exploring TikTok filters not made for white faces. “Tools of representation are neither objective nor inevitable,” writes Kim. “Like all popular technologies, their development is motivated by a variety of economic interests and swayed by assumptions and bias.”

Named after the cloud pictures taken by American photographer Alfred Stieglitz in the early 20th century, “Songs of the Sky” opens at C/O Berlin to examine photography in the age of cloud computing. Featured artists like Evan Roth, Fragmentin, Trevor Paglen, Shinseungback Kimyonghun, Mario Santamaría, and Noa Jansma (image: Buycloud, 2020) explore nascent network technologies to invite questions about their effects on climate change, geopolitics, and how we see the world.

“Neural networks are anti-fragile. Attacking makes them stronger. So-called adversarial attacks are rarely adversarial in nature. Most often they are used to fortify a neural network.”
– American artist and anti-surveillance researcher Adam Harvey, admitting defeat in the face of AI-powered computer vision systems. In his landmark project CV Dazzle (2010), Harvey famously defeated the CCTV-era Viola–Jones Haar Cascade face detection algorithm with low-cost makeup and hair hacks—a tactic he now deems no longer relevant. “Resistance can only happen at a collective level,” Harvey argues.
“Although Facebook plans to delete more than one billion facial recognition templates by December, it will not eliminate the software that powers the system. The company has also not ruled out incorporating facial recognition technology into future products.”
– Technology reporters Kashmir Hill and Ryan Mac, parsing Facebook’s decision to shut down its decade-old facial recognition system over societal concerns

Developed by researchers at Italy’s new-technologies agency ENEA to determine the “attraction value” for specific works of art, project ShareArt begins a trial period at the reopened Istituzione Bologna Musei. 14 camera devices (image) have been positioned near artworks to soak up data on the number of observers and their behavior as they look at a painting, sculpture, or artifact. “Thanks to AI and big data applications,” the system could help improve museum layouts and exhibit scheduling, state the researchers.

Two years after Flemish Minister-President Jan Jambon caused outrage for playing Angry Birds during a policy discussion, Belgian media artist Dries Depoorter launches The Flemish Scrollers, an AI bot that monitors the livestreams of the region’s government meetings for politicians who are on their phones. Once the system’s facial recognition detects a distracted lawmaker, it will call them out in public: a video clip is posted to Instagram and Twitter, tagging the official’s social media handle with the request to “pls stay focused!”

The latest in his Pulse series of heartbeat-synched light works, Rafael Lozano-Hemmer’s Pulse Topology premieres at Kansas City’s Kemper Museum of Contemporary Art. For the first time, the Mexican-Canadian artist integrated touchless photoplethysmography (PPG) sensors that use computer vision to detect visitors’ heartbeats. Another first: the use of LED filament light bulbs that lower the installation’s energy footprint while allowing for greater scale—instead of 100–300 bulbs, Pulse Topology is made of 3,000.

Kyle McDonald and Jonas Jongejan’s immersive installation Light Leaks (2013) opens at Wonderspaces, Scottsdale, deploying fifty mirror balls as epicenter of profound spectacle. Using computer vision and volumetric capture of projector pixel positions, the two artists control the balls’ myriad reflections into a meditative choreography. “It’s one of the best versions we’ve ever done,” McDonald writes on Twitter, citing updated tools for better calibration.

”God damnit, Tensorflow”
– Dan Woods, software engineer and author, illustrating the absurdity of Trump-era politics by sharing a snapshot of the popular machine learning library misidentifying the fly that landed—and stayed—on Mike Pence’s head during the 2020 US vice presidential debate
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