UNSTABLE LANGUAGE
Digital assisted image, 2025
This work was a part of "Wrong Biennale 2025". It explores the performative agency of AI and how algorithmic systems reshape memory, perception, and authorship. Beginning with 35mm analog photography—intimate, observational images taken during everyday routines—I use these photographs as prompts for generative AI models. The resulting images are not extensions of lived experience but synthetic projections filtered through machine vision trained on countless unseen datasets.
What intrigues me is how the visual revolution of our time unfolds quietly—almost imperceptibly. We are witnessing the seemingly impossible: a transformation so profound, it becomes invisible. Images, once tied to lived moments, now circulate untethered from reality, generated by systems that imitate memory with uncanny precision. AI-generated visuals mimic analog aesthetics so convincingly that we now require special markers—like Instagram’s AI tags—to remind us they never existed.
This hybrid process reflects a shift from representation to projection. Today, images no longer refer back to a stable reality; they are outputs of invisible systems that generate meaning autonomously. In my work, this tension surfaces subtly: at the blurred edge of a face, the impossible arrangement of space, or the uncanny familiarity of light. These glitches hint at the machine’s internal logic—abstractions not made for human eyes, but for machine-to-machine communication.
By pairing film photography—long seen as evidentiary—with AI-generated imagery, I interrogate the collapse of reference and the emergence of algorithmic vision. What happens when memory becomes machinic? How do we make sense of media produced by systems that watch, predict, and decide without revealing their logic?
I see my practice not as commentary but as navigation: a way of tracing the contours of an algorithmic landscape that increasingly constructs reality itself. In this, I follow McLuhan’s call for the artist to serve as both sensor and guide—reprogramming perception within a media environment that no longer reflects but performs.