Lule
United Kingdom
Where do you locate yourself in relation to the systems you work with?
I locate myself inside the AI image systems I work with, not outside them. These systems are shaped by older photographic and data biases that often simplify or misread ambiguously multi-ethnic, non-white-presenting people. Rather than trying to correct the system or aim for neutrality, I work against its default visual rules. I use deviation and layering to create images where representation is intentional and chosen, not automatically produced.
Where are you heading, and what is pulling you there?
I am heading toward ways of working with AI that slow things down rather than speed them up. I am pulled by the gap between how easily AI generates images and how difficult it is to represent people without flattening them. This tension draws me toward methods that resist optimisation, using density, layering, and visual pressure to create images that feel chosen rather than predicted.
How would you describe the space your practice is currently unfolding in?
My practice is unfolding in a symbolic and transitional space where different ways of seeing overlap. It sits between realism and abstraction, and between what AI systems expect to generate and what people choose to be seen as. This space asks for pause rather than instant recognition, inviting viewers to notice how identity is built through layers, systems, and decisions instead of being fixed or fully resolved.
