At the ACM Creativity and Cognition Conference 2022, I ran a workshop focusing on ways that emerging AI tools could be used to augment and support (rather than replace) existing creative practices.
Our workshop aimed to explore the emerging, experimental and practical ways that creative practitioners from art, design and craft disciplines can enhance their own processes by engaging with AI tools and systems.
Our intention was to ground the research in existing personal approaches to the creative process, rather than being lead by the abilities of the technology. We aimed to document uses of AI which augment and enhance human creativity, rather than simulate or supplant it.
Through the workshop, we aimed to discuss original, playful, and improvisational uses, or misuses, of AI systems within creative practice. How can AI be used creatively in order to support creativity?
As a starting point, we identified three potential areas in which AI could augment or enhance personal creativity:
Collaboration – approaches which position AI systems as active collaborators in the creative process – making creative contributions, suggesting new directions, taking on particular tasks within the work.
Serendipity – approaches which exploit unexpected or chaotic outcomes from AI systems in order to enhance originality and novelty. This builds on a long tradition of using systems of chance, or aleatorism, within artistic practice.
Creative-reflection – approaches which help practitioners better understand aspects of their own creative process through the use of AI systems – particularly the disciplines required in training Machine Learning models.
More about the workshop can be found here: http://augmentingcreativity.info/