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.
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
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.
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
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
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
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
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.