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Visuallizing bias with augmented realityGoethe-Institut

The Project

From March 1 through May 23, 2021, we invited artists, designers, and the general public to submit creative representations on the subject of bias and technology’s growing ability to alter people’s visual perception of reality.

An international jury comprised of artists, curators, and researchers had the difficult task of selecting the ten best works* from over 150 submissions.

Read more about the project and the open call
* These AR art pieces contain sensitive or violent content which some people may find offensive or disturbing.


Golden fantasy animal on black background Caitlin Foley, Misha Rabinovich

Ecology of Worries

Artists: Caitlin Foley and Misha Rabinovich

“Ecology of Worries” asks the question of whether we should teach a machine to worry for us. It is enabled by an archive of actual recorded worries we’ve been collecting from people since 2016.

The words White and BIPOC Arman Paxad

White Shade

Artist: Arman Paxad

The term BIPOC has found a safe haven in the media and minds of people who consider themselves concerned about the long-running presence of racial and social injustice in the Western world.

An undefined face in black and grey Adam Szklenar

Filterted Views

Artist: Adam Szklenar aka “Skwodam”

AI-generated pictures of non-existing people with social media targeting keywords from real people. The AI goes wrong sometimes and makes smaller or bigger mistakes – both in image generation and targeting your interests. AR with original music.

Selected Projects

  • Abstract graphic in black, white and green with lettering Decoding Babel and photos of famous people Craig Tilley
    Decoding Babel by Craig Tilley: Because technology is increasing at the speed of light, we could be left with a crippled collective mental state that leads us to an unwanted future we unintentionally helped create.
    Details Decoding Babel
  • Portrait of a men with an internet search bar across his eyes Aurora Micale, Chiara Palmucci
    Incel by Aurora Micale and Chiara Palmucci: Algorithms are capable of classifying every human being by way of more or less accurate web search analysis.
    Details Incel
  • Collage of a woman's nine different facial expressions Avital Meshi
    Deconstructing Whiteness by Avital Meshi: “Deconstructing Whiteness” documents an interactive AI performance. The piece examines the visibility of race in general, and ‘Whiteness’ in particular – through the lens of AI technology.
    Details Deconstructing Whiteness
  • Collage: A dragon standing on a globe full of tanks with a corona virus in its paws Alireza Vaziri Rahimi
    The Covid-19 Infodemic by Alireza Vaziri Rahimi: In this project, I aim to reexamine concepts such as propaganda, misinformation and social media in relation to design and our contemporary digital culture.
    Details The Covid-19 Infodemic
  • Collage with different cartoon characters Ilaria Trapani, Marco Manco
    8 WAVE by Ilaria Trapani and Marco Manco: Censorship algorithms cannot understand what is offensive and what is not. Social networks share hateful memes at an impressive rate.
    Details 8 WAVE
  • Altered detail of Alexandre Cabanel’s painting “Fallen Angel” Nirav Beni
    Gradation Descent by Nirav Beni: This work is a short audio-visual video that depicts a conceptual imitation or visual reinterpretation of machine-learning, image-processing algorithms acting on Alexandre Cabanel’s painting “Fallen Angel.”
    Details Gradation Descent
  • Tailored close-up of a man's face on a black backround with lettering Bias Daniele Silvestri
    Fronzoni by Daniele Silvestri: When we are profiled by algorithms, we are surrounded by periods that somehow want to determine with certainty our personalities in order to anticipate our behaviors.
    Details Fronzoni