The infopoetry represents the assumptions Spotify made about me, visually translated with a text-to-image AI by using each inference as a prompt. The resulting images are merged proportionally to create the face of my digital double, according to those algorithms and their stereotypes.
Metaphor used:
The metaphor chosen is a visual personification of my digital double, trying to stress the human component of those assumptions and let the user perceive that they aren’t just words but labels with a huge weight. Algorithms assign those labels and divide us in those categories with a sort of lightness, but it’s important to remember that we’re talking about people with uniqueness.
Intended Meaning:
The infopoem reflects on the insanely specific and biased inferences algorithms make about us, in a continuous exchange of informations between platforms. The aim was to underline also how our digital traces define us in ways that often do not reflect our person. The audience should be astonished by all the information algorithms “pretend” to know about us and make a critical reflection on how they label us to at least partially catch our needs and reuse them. The project also underlines how the final inferences an algorithm made and the results of a text-to-image models, dispel the myth of unbiased and objective AI.
Source:
Spotify inferences (500+) about my lifestyle, my personality, my social class, my user and purchase habits, my interests, my work and much more
