AI.Craft will kick off with an introduction to how Mohamed and Blaine have investigated the use of AI as a collaborative artistic tool, then continue with a discussion around the state of affairs of generative AI. We will be joined by Kate Armstrong, author of the “AI Futures for Art + Design” newsletter, in considering the implications and impacts of AI in the visual arts.

Are there obvious patterns that reveal characteristics/biases of the datasets driving AI tools? Although it can be fun to play with these biases in order to subvert them, is there a way to explore the idea of engineered surprise and can it be harnessed? Are there ways to use these technologies in novel ways? For example, we are investigating how a real-life, non-digital artistic collaborative scenario might then translate into data and reveal the "mood" of that situation in how a resulting AI model behaves.

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Guest Panelist

Kate Armstrong is a writer, artist, and curator whose work focuses on art and technology. Armstrong is a pioneer in generative art and literature: her interdisciplinary practice is conceptually driven and has included participatory work, objects, photography, video, events in urban space, generative text systems, and experimental narrative forms. Her exhibitions include the Contemporary Art Centre (Vilnius, Lithuania), Psy-Geo-Conflux (New York), and Akbank Sanat (Istanbul, Turkey). Armstrong’s artworks are held in collections including Rhizome, the Rose Goldsen Archive at Cornell University, and the Library of the Printed Web. She is co-director of the research initiative AI Futures for Art and Design at Emily Carr University of Art + Design in Vancouver, Canada and publishes a substack on the topic.