HACK FOR CHANGE

SURVELLIANCE, BIAS AND CONTROL
IN FACIAL RECOGNITION SYSTEM

About The Project

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?

Research Experiments

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.

Speaker 1

CLASSIFICATION

How machine classify 100 random pedestrians?

Speaker 2

COMPOSITE IMAGES

How algorithms detect facial expressions?

Speaker 3

JUXTAPOSITION

What facial features are algorithm looking at?


Crowd-Mask

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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Newsletter

Get the latest news about hacking techs and events againt facial recognition system

Get Masks

Choose your composite mask templates according to your preference of material choices.

DIY paper mask
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  • A4 Inkjet Print
  • Full Face Hacking
  • Free Download

scarf mask
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  • Digital Print on fabric
  • translucent
  • Washable

Plastic Mask

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  • Silkscreen Print
  • transparent
  • Full Face Hacking

Contact Us

For any enquiries and informations regarding the issues of algorithmic biases, facial recognition technology and our latest hacking product, please get in touch with us through the contact form below.

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