Irem Bugdayci, Inference, 2025

Irem Bugdayci

Inference, 2025

Inference (2025) is an interactive artwork that uses custom AI software and motion sensing to construct a shared field of vision between artificial and biological intelligence. Sixteen layers of natural imagery are continuously processed and reinterpreted by the system, forming a dynamic perceptual model that viewers reshape through gesture in real time. Vision takes shape through active negotiation between sensing, prediction, and response. The work examines how both humans and machines construct reality from partial and uncertain data. Gestural interaction intervenes directly in the system’s inferential process, exposing perception as a feedback loop shaped by expectation, memory, and error. What appears on screen remains provisional, unfolding as an evolving hypothesis about the world. By foregrounding this shared incompleteness, Inference questions the boundary increasingly drawn between human and machine vision. As AI mediates how we see, navigate, and understand our environment, the work suggests that perception has long operated algorithmically through pattern recognition, prediction, and filling in the gaps. Shared seeing with machines makes these processes visible, reframing it as a collaborative act and reconsidering what it means to know and be known in an algorithmically mediated world.

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