The impact of artificial intelligence on human lives is pervasive but not always apparent. In Decoherence, Ulm collaborates with AI to explore the influence of both human and artificial processes of learning systems and environments. Which biases are seeded into what will potentially be isolated evolutions? What human fears, indecisiveness, and chaos are mapped to hidden variables in the working encoders that are generated? How might one intelligent system come to decipher a universe presented through the shadows of another intelligence?
For “Allegory of Potone, the Basilisk’s, Grotto,” a generative adversarial network model was trained with a target video filter series consisting of surveillance, security, and automated camera captures in order to create an output of similar style for video from divergent sources. The shadow stream is updated with DLC [downloadable content], while one of its two voices allows for tone to be hand selected with the turn of the subterranean platform below the grotto.
For “Generative {Auspicious} Adversarial Network” and “Semi {Sinister} Supervised Learning Algorithm,” Ulm explores the seemingly inconsistent nature of the interactions between humans and AI. One one level, they are mapped one to millions, yet on another, they are highly personalized, individualized relationships. In this body of work, Ulm explores both the process of creating visuals through AI collaboration, as well as the power of binaural audio and face to face communication in facilitating intimacy.
