Published May 31, 2023
| Version v1
Conference paper
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YouTube Mirror
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Description
YouTube Mirror is an interactive, audiovisual AI installation that generates images and sounds in response to the images of the audience captured through a camera in real time as a concept of data mirror. YouTube Mirror uses a cross-modal generative machine model that was trained in an unsupervised way to learn the association between images and sounds obtained from the YouTube videos I watched. The machine will see the world only based on this audio-visual relationship, and the audience can see themselves through the machine-generated images and sounds. YouTube Mirror is an artistic attempt to simulate my unconscious, implicit understanding of audio-visual relationships that can be found in and limited by the videos I watched. YouTube Mirror also attempts to represent the possibility of the machine's bias caused by implicit bias inherent in video recommendation algorithms as well as a small set of personal data.
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