About The Project
Algorithmic Physiognomy examines how facial recognition technology can reinforce bias and top-down control by the domination of particular technologies and systems. Through a process of superimposing photographs, testing composite images on facial recognition software and creating masks, this project illustrates the abstract subjectivity of the technology and challenges the audience’s adoption of new technologies, provoking them to antagonise the technologies they use.
How will the use of facial recognition technology reinforce issues of control and bias?
How can we confront algorithmic biases through a critical design practice?
The subjectivity of the technology is abstracted away from user interface design. How can we visualize the bias of machine vision? Here are some facial analysis results of face++, a facial recognition software used in China's survelliance system.
Hacking concept on facial recognition system using transparent masks with superimposition of crowd-sourced facial features.
HACK THE SYSTEM WITH THE CROWD
Crowd-mask is a crowd-sourcing application dedicated to evaluating the biases of facial recognition algorithms. It protects your privacy from surveillance cameras by generating composite masks to hack facial recognition systems.About the concept
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