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

Title data

Buschek, Daniel ; Mecke, Lukas ; Lehmann, Florian ; Dang, Hai:
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems.
2021
Event: 26th International Conference on Intelligent User Interfaces , 13.04.2021 - 17.04.2021 , Online (Originally: College Station, Texas, USA).
(Conference item: Workshop , Speech with paper )

Official URL: Volltext

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Project information

Project title:
Project's official titleProject's id
AI Tools - Continuous Interaction with Computational Intelligence ToolsNo information

Abstract in another language

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.

Further data

Item Type: Conference item (Speech with paper)
Refereed: Yes
Additional notes: erschienen in: Joint Proceedings of the ACM IUI 2021 Workshops;
HAI-GEN Workshop on Human-AI Co-Creation with Generative Models at IUI'21
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 21 Feb 2022 13:00
Last Modified: 21 Feb 2022 13:00
URI: https://eref.uni-bayreuth.de/id/eprint/68709