Researchers Gone Wild
An exhibition on the unconstrained and non-consensual image datasets behind facial recognition, presenting discoveries from the multi-year Exposing.ai investigation into data collected "in the wild".
The exhibition Researchers Gone Wild looks at the use of unconstrained and non-consensual data sources in Artificial Intelligence systems. Beginning in 2007 with the "Labeled Faces in the Wild" dataset and continuing throughout 2020, the practice of collecting images "in the wild" has become normalized, but is still largely unregulated and often problematic. Today, dozens of image training datasets with millions of images and identities feed into industrial facial recognition systems with little oversight. The works presented in Researchers Gone Wild showcase discoveries made during the multi-year research project Exposing.ai that investigates image training datasets created "in the wild".
Read more on Eigen Art + Lab
Installation Views
