“Gradient Topologies: Perpetual Tuning of AI Systems as Artistic Performance” presented by DiBlasi

In this paper the author discusses factors of artificial intelligence (AI) that affect approaches to the creative process in general and how these influence the relationships between creators, technologies, and the resulting works. This paper is an inquiry into how AI can serve as framework for practice in the arts as well as to explore some of the properties creative AI exhibited through its use in the author’s audio-visual performance artworks. Specifically, this paper will ask the question, what is the language of AI in the artist’s own creative practice. He will explore this question as it relates to the artwork 432Hz, a live, generative soundscape performance that utilizes the act of training artificial neural networks (ANN) to generate various soundwaves that evolve over time and fluctuate between the harmonic and the discordant. 432Hz is performed with a custom audio synthesizer is also a custom-built neural network that the performer trains throughout the performance to learn to generate a combination of various sine wave frequencies. In this artwork, the AI model used serves as a model or framework for the aesthetics and structures of creative processes through the act of training or neuroevolution.