12 Sep –
31 Oct 2020

12 Sep –
31 Oct 2020

Nicola Samorì
In abisso

27 Aug –
19 Sep 2020

27 Aug –
19 Sep 2020

Adam Harvey
Face First: Researchers Gone Wild
EIGEN + ART Lab

Nicola Samorì
In abisso

Nicola Samorì, Testa fiorita, 2020. Courtesy Galerie EIGEN + Art Leipzig/Berlin. Photo: Rolando Paolo Guerzoni

Samorì’s works often refer to Italian 17th-century painting. His still lifes, portraits and landscapes develop through enormous technical skills over a long span of time and through numerous layers of paint on stone, copper, wood or canvas. But Samorì withholds the „finished” painting from us and purposely destroys the image surface and attacks it with palette-knifes, diluent or his bare hands. Physicalness and the body are most important for Samorì’s paintings. By focusing on the materiality and artificiality of the image, Samorì negates classical representation and questions painting itself.

Nicola Samorì, Studio View, 2020

“In abisso (In the Abyss) is an invitation to walk 12 steps to descend into the belly of Galerie  EIGEN + ART and, once reached, to push your eyes inside the exhibited works. Because every presence is a mechanism that has been formed around the matter wound, poised between the Baroque and the desert of the image.”

Nicolai Samorì

Nicola Samorì, La degenerazione di Daniel, 2020. Courtesy Galerie EIGEN + ART Leipzig/Berlin

Nicola Samorì, Ultima scena, 2020. Courtesy Galerie EIGEN + ART Leipzig/Berlin

Adam Harvey
Face First: Researchers Gone Wild

Adam Harvey, Datageist: Duke MTMC Camera 6, 2019. Credit: Adam Harvey, 2019. Courtesy the artist and EIGEN + ART Lab

 

The exhibition Face First: 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 Face First: Researchers Gone Wild showcase discoveries made during the multi-year research project MegaPixels that investigates image training datasets created “in the wild“.