Chance Operations
"Chance Operations" juxtaposes AI-generated images and texts to explore the tension between control and randomness. The work draws on the inner mechanics of diffusion models, which generate visuals by converting data into noise and then reconstructing it through patterns of similarity. This process—evoking the act of drawing numbers from a bingo bag—underscores the role of chance and iteration in image-making. By situating these partially random outcomes within curated contexts, Chance Operations reflects on the aesthetics of generative systems. The book opens with a text connecting the logic of AI generation to Dadaist strategies, highlighting their shared interest in unpredictability and disruption.
Chance Operations – Spread, composite digital image, 2022
seed": 888, AI-generated via probabilistic diffusion , 5376 x 3584 px, 2022
seed": 763, AI-generated via probabilistic diffusion, 1152 x 1472 px, 2022
Chance Operations – Spread, composite digital image, 2022
seed": 1163, AI-generated via probabilistic diffusion, 896 x 1572 px, 2022