ASUNDER

Three channel video-projection, satellite imagery, CESM climate modeling software, 144 core super-computer, custom software.

DESCRIPTION

Asunder responds to a growing interest in the application of AI to critical environmental challenges by situating this approach as a literal proposition, combining state of the art climate and environmental simulation technology, a 144 CPU super-computer and Machine Learning image-making techniques. The result is a fictional 'environmental manager' that proposes and simulates future alterations to the planet to keep it safely within planetary boundaries, with what are often completely unacceptable or absurd results. In doing so, Asunder questions assumptions of computational neutrality, our increasingly desperate reach for techno-solutionist fixes to planetary challenges, and the broader ideological framing of the environment as a system.

Satellite, climate, geology, biodiversity and topography for a series of terrestrial regions is used to generate an ever evolving series of environmental management plans where human and non-human agendas are combined and weighted in different ways. A central argument made by those encouraging the uptake of AI, is that data driven systems can depoliticize or neutralize decision making. Extended to the context of ecosystems, this could imply that ecological agendas are prioritized over human goals (and over the status quo where human systems of production are preserved at the expense of everything else).

The work is structured into discrete simulations for different regions, positioning ecosystem as computational surface. As cities are relocated, nations combined, coastlines straightened or rivers moved, the work shifts between humorous to proposterous, from uncannily eco-fetishistic to tediously bureaucratic.

EXHIBITION

UNCANNY VALUES: Artificial Intelligence and You

May 29 – October 6th, 2019
Vienna Biennale for Change
Museum of Applied Arts

The Eternal Network

Jan 28 – Mar 01 2020
Transmediale
Haus der Kulturen der Welt, Berlin

TEAM

Tega Brain, Julian Oliver, and Bengt Sjölén.