Toolkit + Case study
Exposing.ai – the production pipeline of facial recognition systems
Investigation, catalogue, and provenance of the datasets that enable facial recognition systems
Technical | Design | Socio– |
Dataset | Model | Application |
Exposing.ai is run by Adam Harvey and Jules LaPlace. Within the frame of AI Forensics and the HfG Karlsruhe’s KIM, they developed it on the basis of the previous MegaPixels project. It has also received support from the Weizenbaum Institut, Mozilla, the Surveillance Technology Oversight Project (S.T.O.P.), and the Copenhagen Business School's AI REUSE project.
Visit the project at its own website:
As part of the Forensics toolkit
, it features a search functionality allowing persons to investigate whether images of their face have been captured within the countless facial recognition training sets that the project tracks.
The project also features extensive sociotechnical
investigations into a growing fraction of the datasets that it has amassed.