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Visualizing Bias: 10 works on biased technology

Goethe-Institut, Gray Area and Fotomuseum Winterthur

Visualizing Bias was an open call by the Goethe Institut, Gray Area and Fotomuseum Winterthur on how technology misrepresents people: biased advertising, journalism, robotics, medical systems, surveillance and cosmetics. More than 150 works were submitted, an international jury picked ten, and three finalists received 1000 dollars each plus international presentation. The selected pieces were shown as AR works in an online gallery and at physical venues in July 2021.

Outcome: 10 works selected from more than 150 submissions, three finalists awarded 1000 dollars each.

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Credits

  • Caitlin Foley and Misha Rabinovich artist
  • Adam Szklenar artist
  • Arman Paxad artist
  • Avital Meshi artist
  • Craig Tilley artist
  • Aurora Micale and Chiara Palmucci artist
  • Alireza Vaziri Rahimi artist
  • Ilaria Trapani, Marco Manco artist
  • Nirav Beni artist
  • Daniele Silvestri artist
  • Goethe-Institut client
  • Gray Area client
  • Fotomuseum Winterthur client
  • Daniele Musto film
open callbiasgoethe institutexhibitionsocial impact
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  1. Pick what people will point their phone at: a painting, poster, pack, page or wall.
  2. Add the digital layer in the Artivive editor. Video, image, 3D model, sound. No code.
  3. Publish. Visitors open it in the free app or through a WebAR link, and enterprise campaigns run fully white label, under your own brand.
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