Date of Award
Bachelor of Science (B.S.) in Graphic Design and University Honors
Artificial intelligence -- Applications to graphic design, Neural networks, Machine learning, Art and technology, Graphic design -- Technological innovations
In this paper, I discuss the creation, execution and reception of my digital art series Fallen Objects, in which I collaborate with a neural net to create pseudo-found objects. I explore how artists might collaborate with Artificial Intelligence obliquely, not by having the AI generate the images themselves,but instead generate input for the artists to make the images. While many artists are focused on training neural nets to replicate their own art inputs, I instead focus on working with an AI trained on external, easily-accessible data and creating images from the prompts it delivers. In this way, the AI works not as the artist but as the muse, delivering inspiration instead of finished pieces. Additionally, the objects present a sort of reflected look of mankind’s collective psyche: the AI responds with things it feels are plausible from its training on human input, and by creating these objects, we can look into a sort of reflection of ourselves, as seen from a semi-objective third party.
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Gerard, Harrison S., "Fallen Objects: Collaborating with Artificial Intelligence in the Field of Graphic Design" (2020). University Honors Theses. Paper 882.