InterviewFloriama Cândea | Defensive networks

Floriama Cândea | Defensive networks

Floriama Cândea explores through her artistic approach how we can decipher signs/shapes through analogy and how reproduction and recontextualization can redefine the meaning or individuality of images.

Defensive networks are a set of AI-generated images depicting networks of marks/traces left by various plant pests, investigating how they can mislead predators by the appearance and texture of leaves. By exploring biological interventions and aesthetic manipulation, the artist imagines defensive strategies of plants. Inspired by the unique patterns of leaf miner moth tracks, the images re-enact the leaves’ power to defend themselves and trick predators into believing they have already been preyed upon.

Program co-financed by AFCN. The project does not necessarily represent the position of the Administration of the National Cultural Fund. AFCN is not responsible for the content of the project or how the results of the project may be used. These are entirely the responsibility of the grantee.

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