An interaction model for human–machine creative collaboration
Exploring how interactive systems can enhance creative productivity
How can we enhance creative work through interacting with artificial intelligence (AI)? It’s a crucial question for our times and addresses an opportunity that is largely unexplored as things stand right now.
Amidst black-and-white fears that AI will take over all creative jobs – or indeed excitement that it will solve all our problems – the question of human-AI collaboration provides much needed clarity in the debate around one of the most controversial and pertinent topics of the present moment.
At the core of this project is an aim to show that interactive systems can enhance creative productivity. More specifically, the aim is to demonstrate how this can happen through the development and evaluation of a model for the ways in which humans and AI might interact while creating.Â
The expected outcome of this work is to generate new strategies for effective, intelligent, and domain-general creativity support. These new strategies will nevertheless be validated in the domains of drawing and music composition by rigorous human-centred prototyping techniques. In working towards a model of creative work through interaction with AI, the benefits will include an increase in the rate of creative outputs – both within creative industries as well throughout the economy as a whole.
Associate Professor Kazjon Grace, University of Sydney
¶Ù°ùÌýFrancisco Ibarrola, University of Sydney
Dr Marius Hoggenmueller, University of Sydney
Professor Marcus Carter, University of Sydney
Professor Dan Ventura, Brigham Young University
Associate Professor Ollie Bown, University of New South Wales
Sam Gillespie, University of Sydney
Liam Bray, University of Sydney
Alex Elton-Pym, University of Sydney
Shuyao Dai, University of Sydney
Geoffrey Lazarus, University of Sydney
