If an image no longer emerges from a direct experience of the world, but from the algorithmic processing of vast amounts of visual data, what does it truly represent today: a mere averaged simulation of human creativity or a new species of visual object?
The sheer volume of AI-generated content online has led to a phenomenon where artificial intelligence models are being trained on images they themselves created. This creates a “vicious cycle” of so-called AI slop, which is becoming increasingly difficult to identify.
This lecture will explore how AI-generated imagery triggers human recognition, trust, and judgment, even when it lacks any direct connection to reality. Within this context, the work of Ivan Šuletić opens up a space to reconsider the boundaries between seeing, believing, and interpretation.
Admission is free and registration is not required.