
Photo credits Disruption Network Lab
In a world where cameras proliferate as surveillance becomes ubiquitous, and where data is invasively collected and commodified without consent, Lauri Love and Michelle Tylicki present D A Z Z L E as an interactive tool for the reclamation of agency. Through a boutique salon experience, visitors have their facial features detected and displayed. They learn how the facial detection technology works, then follow tips on effective methods to defeat it as they customize their camouflage style. They emerge rewarded with a tailored look and an analysis report to certify their fabulous mystique against eight of the most commonly used models for facial detection.
D A Z Z L E is a subversive experience that is designed to break machine-learning facial recognition models, while satirising the beauty industry to reveal a critique of surveillance as a tool of capitalism and the state.
Commissioned by Disruption Network Lab (2023)
Presentation: Disruption Network Lab’s conference Artivism (DE).
This artwork is available for touring.
Contact for the distribution: info@disruptionlab.org
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