Artificial, artificial intelligence (AAi)

Abstract

This paper examines the epistemological crisis surrounding artificial intelligence through a practicebased investigation that deliberately conflates algorithmic and arbitrary processes. By presenting sonified image data as neural network compositions, this work interrogates the “black box” phenomenon Flusser identified in technological apparatuses and proposes a “reverse Turing test” wherein audiences cannot distinguish between genuinely AI-generated content and carefully constructed simulacra. Drawing upon Cage’s indeterminacy, Partch’s corporeality, and Youngblood’s concept of expanded cinema, the work re-materialises visual information through sound, creating what might be termed “cinema by other means” (Levi, 2012) a synaesthetic translation that exposes the mythological dimensions of contemporary AI discourse.