Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
It highlights critical issues for researchers and practitioners in HCI and AI to avoid negative impacts on creative practices, though it is incremental as it synthesizes existing knowledge.
The paper identifies nine potential pitfalls in designing human-AI co-creative systems with generative models, based on literature and researcher experiences, and suggests ideas to address them to benefit users' interests.
This position paper examines potential pitfalls on the way towards achieving human-AI co-creation with generative models in a way that is beneficial to the users' interests. In particular, we collected a set of nine potential pitfalls, based on the literature and our own experiences as researchers working at the intersection of HCI and AI. We illustrate each pitfall with examples and suggest ideas for addressing it. Reflecting on all pitfalls, we discuss and conclude with implications for future research directions. With this collection, we hope to contribute to a critical and constructive discussion on the roles of humans and AI in co-creative interactions, with an eye on related assumptions and potential side-effects for creative practices and beyond.