HUMAN ENOUGH: A Space for Reconstructions of AI visions in Speculative Climate Futures

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Abstract

The cave painting was a creative space we no longer understand. What technologies of today can we use to understand our own concerns of a climate future analogous to the way pre-historic humans drew their conceptions onto the cave? HUMAN ENOUGH uses machine learning-generated visions of climate futures (Stable Diffusion, Midjourney, etc) and climate adaptions / potential solutions (ChatGPT) in a creative space (Gather) to reconstruct a modern analog of the age-old cave painting. It then constructs the machine visions into physical installed objects using recycled, organic, found materials from site-specific builds for physical exhibition. The outcome is a collective imagining of our climate future and our adaptions to it from a technological and material perspective.

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Lc, R. A. Y. (2023). HUMAN ENOUGH: A Space for Reconstructions of AI visions in Speculative Climate Futures. In ACM International Conference Proceeding Series (pp. 217–222). Association for Computing Machinery. https://doi.org/10.1145/3591196.3593341

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