Titelangaben
Buschek, Daniel ; Mecke, Lukas ; Lehmann, Florian ; Dang, Hai:
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems.
2021
Veranstaltung: 26th International Conference on Intelligent User Interfaces
, 13.04.2021 - 17.04.2021
, Online (Originally: College Station, Texas, USA).
(Veranstaltungsbeitrag: Workshop
,
Vortrag mit Paper
)
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Angaben zu Projekten
Projekttitel: |
Offizieller Projekttitel Projekt-ID AI Tools - Continuous Interaction with Computational Intelligence Tools Ohne Angabe |
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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.
Weitere Angaben
Publikationsform: | Veranstaltungsbeitrag (Vortrag mit Paper) |
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Begutachteter Beitrag: | Ja |
Zusätzliche Informationen: | erschienen in: Joint Proceedings of the ACM IUI 2021 Workshops;
HAI-GEN Workshop on Human-AI Co-Creation with Generative Models at IUI'21 |
Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik Fakultäten Fakultäten > Fakultät für Mathematik, Physik und Informatik |
Titel an der UBT entstanden: | Ja |
Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik |
Eingestellt am: | 21 Feb 2022 13:00 |
Letzte Änderung: | 21 Feb 2022 13:00 |
URI: | https://eref.uni-bayreuth.de/id/eprint/68709 |