flower_gan
is a generative adversarial network that creates artificial images of flowers, questioning the environmental impact of generative AI. Flowers, both organic organisms and industrial commodities, act as symbols of digital reproduction. The project explores the paradox of environmental art that contributes to ecological degradation. Through algorithmically driven precision and disorder, flower_gan mirrors AI’s extractive energy demands. By exposing AI’s training processes, the project critiques the secrecy of the industry, rethinking the relationship between art and datasets. It also questions the ethics of data scraping in AI, and challenges the accelerationist ideals driving irresponsible technological expansion.
flower_gan on display at the London College of Communication as part of Movements Towards the Self, Movements Towards History, curated by Krasimira Butseva.