experimental AI research – INNER PLANT SYSTEM

INNER PLANT SYSTEM │ experimental AI research

INNER PLANT SYSTEM began as a question: how does AI portray emotions in plants? What started as curiosity became almost compulsive. Each click on 'generate' promising the perfect variation, and stopping was harder than expected.

Shifting colors, altered textures, botanical forms that may or may not exist in the real world. The process itself became the subject.

In early 2024, the number of AI tools available online was already overwhelming. Each platform promised something slightly different, and the curiosity to try them all was hard to resist.

Generating a 3D model from a single image in a couple of minutes is just one example of how quickly ideas can take shape.

Most images in this project were generated with Stable Diffusion though, running on a local machine, free and open source.

But local does not mean neutral. Open source models carry bias, including a tendency to sexualize and default to certain body types and aesthetics.

Ultimately, this experimental research taught me to use AI more consciously, and to think more critically about what these tools actually are, how they work, and at whose expense.