Brief description
The artist is reverse engineering facial recognition by deconstructing images of faces and then mutating the images until they where again detected by facial detection tools as faces. The artist chose a selection of mutations and made 3D prints of them.
"Data-masks can be understood as visualizations of how machine learning algorithms generalize faces into abstract feature sets"
Source: http://www.sterlingcrispin.com/Sterling_Crispin_Data-masks_MS_Thesis.pdf