What remains genuinely generative in our creative and critical encounters with these systems? Once the excitement settles and the technology embeds less noisily into our lives and workflows, what continues to spark awe, abjection, delight, and disgust? As the tools improve, as the outputs become smoother, more utilitarian, more banal — what frameworks and methods will help us retain a healthy awareness of both the magic and the materiality of these systems?

Program

• Generative AI, Creativity, and the Productive Chaos of Glitch — Keynote presentation by Dr Daniel Binns, RMIT University
• Salon-style provocations and introductions from guests and participants
• Preposterous Prototypes for Pernicious Problems — A hackathon for the immediate future of genAI, video, and storytelling

Generative AI, Creativity, and the Productive Chaos of Glitch
As generative AI settles into everyday practice, what remains genuinely generative in our encounters with these systems? This talk proposes a materialist approach to creative AI, treating outputs not as artworks but as traces of wider infrastructures, datasets, and relations.
Drawing on projects in creative misuse and synthetic literacies, Daniel Binns explores glitch as both method and mindset—a way to work with error, noise, and slippage as sources of imagination. Moving through experiments in text, image, and video, the talk reflects on emerging frontiers of AI video and agency, and how we might re-wild our tools with curiosity and care.

This free event is supported by Canva, Leonardo.Ai, University of New South Wales, and the ARC Centre of Excellence for Automated Decision-Making and Society.

Registration is essential.