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Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
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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.
Forward citations
Cited by 2 Pith papers
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Exploring the Needs of Practising Musicians in Co-Creative AI Through Co-Design
A co-design study with 13 practising musicians produced a variation tool and design insights, including that musicians want AI framed as a tool, not a collaborator, and want control over the creative process.
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