Models for Environmental Literacy
video, 36:40, 2020
In the face of climate change, large-scale computer-controlled systems are being deployed to understand terrestrial systems. Artificial intelligence is used on a planetary scale to detect, analyse and manage landscapes. In the West, there is a great belief in “intelligent” technology as a lifesaver. However, practice shows that the dominant AI systems lack the fundamental insights to act in an inclusive manner towards the complexity of ecological, social, and environmental issues. This, while the imaginative and artistic possibilities for the creation of non-human perspectives are often overlooked.
With the long-term research project and experimental films, the artist explores in a speculative manner how AIs could have alternative perceptions of an environment. Three distinct AIs were trained for the screenplay: the SCIENTIST, the PHILOSOPHER, and the AUTHOR. The AIs each have their own personalities and are trained in literary work – from science fiction and eco-philosophy, to current intergovernmental reports on climate change. Rice brings them together for a series of conversations while they inhabit scenes from scanned natural environments. These virtual landscapes have been captured on several field trips that Rice undertook with FIBER(Amsterdam) and BioArt Society (Helsinki). Models For Environmental Literacy invites the viewer to rethink the nature and application of artificial intelligence in the context of the environment.
Tivon Rice (US)
Tivon Rice is an artist and educator working across visual culture and technology. Based in Den Haag (NL) and Seattle (US), his work critically explores representation and communication in the context of digital culture and asks: how do we see, inhabit, feel, and talk about these new forms of exchange? How do we approach creativity within the digital? What are the poetics, narratives, and visual languages inherent in new information technologies? And what are the social and environmental impacts of these systems? Rice holds a PhD in Digital Art and Experimental Media from the University of Washington. He was a Fulbright scholar (Korea 2012), and one of the first individuals to collaborate with Google Artists + Machine Intelligence.