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Designing Human-AI Systems for Creativity and Beyond: Michael Terry
February 22 @ 4:00 pm - 5:00 pm
*This talk is hybrid (in-person & remote). Capacity is limited. Please register ahead of time.
This talk considers how large language models (LLMs) can be employed as an HCI prototyping medium, in ways similar in spirit to paper prototyping. Seen in this light, Michael Terry will: 1) present a basic design space to situate LLMs as a prototyping material, 2) share results of a case study showing how LLMs affect AI prototyping practices (including social dynamics), and 3) enumerate a few design patterns for enriching the AI prototyper’s palette (decomposition, the switchboard, and “phone a friend”).
About the Speaker
Michael Terry (he/him) is a Research Scientist at Google, where he co-leads the People and AI Research (PAIR) group. His research is situated in the realm of human-AI interaction (HAI), with a particular focus on enabling rapid prototyping with AI. He was previously an Associate Professor at the University of Waterloo.
About Designing Human-AI Systems for Creativity and Beyond
Imagine a computer that could finish your sentences, or compose music that sounds as if you wrote it, or dance with your moves or solve a problem by creating hundreds of lines of code – leaving you to focus on a task that is even harder, augmenting your creative ability and pushing you to reach your creative potential. In a sense, that computer is merely the descendant of the power looms or the steam engine of the Industrial Revolution. But it also belongs to a new class of machine, because it grasps the symbols in language, music and programming and uses them in a way that seems creative, seems human. These “Generative AI” models represent a breakthrough in artificial intelligence, creativity and design.
This speaker series invites you to engage in the promise and perils of the next big thing in machine intelligence. We invite speakers from the worlds of art, design, technology and policy to discuss these impressive new capabilities, its limitations and how we, as designers and students, could harness it to reach new heights in art, music, dance, architecture, fashion, creative writing and programming.