How AI Generates Creativity from Inauthenticity
James Brusseau (Department of Philosophy, Pace University, NYC), Luca Turchet (Department of Information Engineering, Computer Science, University of Trento)

TL;DR
This paper explores how artificial intelligence fosters a form of creativity rooted in inauthenticity, challenging traditional notions of authenticity in art and expanding creative possibilities through elusiveness and reflection.
Contribution
It introduces the concepts of elusiveness and reflection as key elements of AI-generated art, highlighting their role in broadening creative potential beyond authentic origins.
Findings
AI art is characterized by elusiveness and reflection.
Inauthenticity in AI art allows for greater creative flexibility.
The paper discusses implications for human identity and experience.
Abstract
Artificial creativity is presented as a counter to Benjamin's conception of an "aura" in art. Where Benjamin sees authenticity as art's critical element, generative artificial intelligence operates as pure inauthenticity. Two elements of purely inauthentic art are described: elusiveness and reflection. Elusiveness is the inability to find an origin-story for the created artwork, and reflection is the ability for perceivers to impose any origin that serves their own purposes. The paper subsequently argues that these elements widen the scope of artistic and creative potential. To illustrate, an example is developed around musical improvisation with an artificial intelligence partner. Finally, a question is raised about whether the inauthentic creativity of AI in art can be extended to human experience and our sense of our identities.
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Taxonomy
TopicsMusic Technology and Sound Studies · Aesthetic Perception and Analysis · Sound Studies and Aurality
