Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems

• URL: http://arxiv.org/abs/2104.00358v1
• Date: Thu, 1 Apr 2021 09:27:30 GMT
• Title: Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems
• Authors: Daniel Buschek, Lukas Mecke, Florian Lehmann, Hai Dang
• Abstract summary: This position paper examines potential pitfalls on the way towards achieving human-AI co-creation with generative models. We illustrate each pitfall with examples and suggest ideas for addressing it. We hope to contribute to a critical and constructive discussion on the roles of humans and AI in co-creative interactions.
• Score: 19.90876596716716
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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