Authors: Buschek, D., Mecke, L., Lehmann, F., & Dang, H.
Paper 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." (Buschek et al., 2021)
Buschek, D., Mecke, L., Lehmann, F., & Dang, H. (2021). Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems. arXiv preprint arXiv:2104.00358.
Author: Davis, N.
A book rough draft that includes information about designing and develop co-creative applications, such as cognitive modeling, interaction dynamic modeling, and collaboration modeling.
Davis, N. (2022). Co-Creative AI: A Computational Cognitive Theory for Developing and Evaluating Co-Creative Artificial Intelligence Agents. Work in Progress. Accessed June 2022: www.enactivecomputing.com