Ground to Cloud (G2C) brings together scholarly research and investigative journalism on the vast array of infrastructure that supports contemporary artificial intelligence, with a focus on specific sites and forms of labor. Each of the six layers on the left collects examples of the material configurations that underlie the supposedly immaterial cloud, often involving very real extraction and exploitation. From cobalt mining in the Congo to logjams in the Panama Canal to image labelling in Venezuela, these exhibits serve as a corrective to the sleek, futuristic, and conspicuously depeopled images of neatly arranged server racks that dominate the official imagery of AI.
Another aim of G2C is to demonstrate the astonishing scale and breadth of AI systems. It is no accident that the writers cited throughout make liberal use of the term "planetary"—researchers have examined the "planetary extractive machine" (Labban 2014),
Text highlighted in teal indicates a citation; hover to preview and click to see complete bibliographic information on Zotero. You can return to this page at any time by selecting the icon at the top left.
G2C is built and maintained by Owen Leonard and hosted on Github Pages. A full bibliography for the site is available on Zotero. The code is open-source and can be viewed on Github.