The College of Design Lectures and Exhibitions Committee is hosting this guest lecture by Philippe Pasquier from 5:30–6:15 p.m. Wednesday, March 4, with 15 minutes for Q&A with the audience from 6:15–6:30 p.m.
About the lecture
Creative AI tools increasingly allow for the partial or complete automation of creative tasks. Be it through the augmentation of existing creative software or through embedded real-time generation, these algorithms have a growing influence on creative practices. Creative AI will not take over the world, but it certainly increasingly impacts creators, students, educators, and the industry at large.
Now that generative algorithms have human-competitive skills for many creative tasks and are being deployed for professional and amateur alike, it is critical to evaluate and discuss the implications of such developments. In this lecture, Pasquier will describe challenges and opportunities arising through a series of examples of generative systems developed at the Metacreation Lab and experiments conducted with these systems. He will introduce a range of tools readily available for computer-assisted sound design, music composition, and visual generation, demonstrate them, and discuss their common implications on creative processes and workflow. He will also present results of evaluations conducted with artists, students, and the software industry focusing on user experience, ethics, sense of authorship, and technological acceptance.
About the speaker
Pasquier is a scientist-artist working at the edge of generative systems, computational creativity, and human-AI co-creation. He is a professor at Simon Fraser University’s School of Interactive Arts and Technology in Vancouver, Canada, where he directs the Metacreation Lab for Creative AI. His research-creation practice spans music, moving image, and interactive media, with work presented internationally in venues such as Mutek, Ars Electronica, Centre Pompidou, the Chengdu, and the Sydney Biennale, among others.
With the Metacreation Lab, Pasquier has co-authored 200-plus peer-reviewed publications and received eight best paper awards. He teaches a widely-followed MOOC (mass open online course) on generative art and computational creativity and collaborates with the creative community and software industry to bring co-creative tools into real-world workflows.