This is how the system maps and labels the features of the face.
Under this system, my face is recognized with a maximum confidence of only 89 percent across 9 angles. In one image, my face is not recognized at all. In the others, my gender is incorrectly and confidently reported at a high of 95 percent confidence and a low of 62.
How can I convince this machine of my gender?
How can I communicate something that is the sum of so many little
moments, gestures, and decisions?
The relative lightness of my skin serves to make me more legible to facial recognition software as studies have shown that these technologies often fail to accurately recognize dark-skinned faces. Yet as this technology calibrated to whiteness gazes upon my face, I am still misgendered.
As these technologies are finding their way into the hands of law enforcement, I am left thinking about how trans people of color are particularly threatened by the intersection of this transphobic and racist tech with transphobic and racist policing.
Consider another set of faces:
None of these faces belong to a human body, they were generated by another algorithm,
a generative adversarial network
trained on 70,000 faces and tasked with creating new ones. They are
composite images: an assembly of textures, shapes, and colors gathered
into formations according to the algorithm's rules for what constitutes a
What happens when we point one algorithm at another?
What are they saying to each other?
In their conversation, the composite faces are more legible than my own.
They see each other with greater certainty and clarity. They can agree
on what a face is and place it into specific emotional and gender
(Note: The facial recognition used on this page is not improved or
modified based on your engage with this page. No data is collected or
shared through this project.
This project is best viewed on a non-mobile device. As a project in the early stages of development, it may not be fully compatible with all browsers and hardware.
More information can be found by viewing the source code of this page, either by right clicking on the page and selecting "view source" or by going to HERE.)