Disruption: Learning to Block Facial Recognition Technology
By: Anna Chin
Advising Faculty: Ozgur Izmirli
Disruption looks to challenge facial recognition technology as a normalized phenomena in our everyday society
Project/Mission Statement
What does a face look like in the eyes of a camera?
“Disruption” is meant for us to take a step back from life as we know it and challenge the technology that we are learning to adapt to. As this technology becomes more popular and widespread in our lives, data found from facial recognition technology has been used, often times, without the consent of the face itself. I would like my audience to pause and think: how will the increase of facial recognition technology affect you? How will it impact others? Should we be comfortable with the abilities of this technology?
In this project, I have created filters that disrupt mainstream facial recognition algorithms. These filters can be put on any image broadcast to social media that will hide a face from these algorithms. This experience is meant to be uncomfortable, allowing the audience to see what exactly it means for a face to be read by a camera and how we can take measures to disrupt this normalized phenomena.
Additional Material
Disruption: Learning to Block Facial Recognition Technology
Related Fields: Ammerman Center