Inference

Inference (2025) uses custom AI software with motion sensing to create shared forms of seeing between artificial and biological intelligence. A system processes sixteen layers of natural imagery, generating algorithmic interpretations that viewers reshape through gesture in real time. The work explores how both human and machine construct reality from incomplete information, revealing perception as a collaborative act.

By foregrounding this shared incompleteness, Inference questions the growing distinction we draw between human and machine vision. As artificial intelligence increasingly mediates how we see, navigate, and understand the world, the work suggests that our perception has always been collaborative, algorithmic in its own way—pattern-matching, filling in blanks, constructing coherence from chaos. Rather than replacing human understanding, shared seeing with machines reveals its mechanics, redefining what it means to know and be known in our algorithmically mediated world.