Denial Sage

Abstract

Denial Sage is a sound art piece, which speculatively engages with history, bias and conflict through the mediated perception of machine intelligence. It creates this abstract fiction to examine non-human cognition, to create a stranger with which to confront us with a flattened past and to let the vagar- ies and specters of its perception haunt us. The audio material of Denial Sage was created by a generative machine learning model trained on highly bi- ased datasets comprised of .wav files from such sources as conflict report- ing and emergency service scanner recordings, which were post-processed and shaped into a multi-channel pseudo-generative installation. While the sounds are often divorced from familiarity, glimpses of something eerily known does come through, questioning what pasts form our future, when even algorithms can hear it.

Titel der Veranstaltung

xCoAx: 12th Conference on Computation, Communication, Aesthetics & X

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