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The AI Ghostwriter Effect : When Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors

Titelangaben

Draxler, Fiona ; Werner, Anna ; Lehmann, Florian ; Hoppe, Matthias ; Schmidt, Albrecht ; Buschek, Daniel ; Welsch, Robin:
The AI Ghostwriter Effect : When Users Do Not Perceive Ownership of AI-Generated Text But Self-Declare as Authors.
In: ACM Transactions on Computer-Human Interaction. Bd. 31 (2024) Heft 2 . - 25.
ISSN 1557-7325
DOI: https://doi.org/10.1145/3637875

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Abstract

Human-AI interaction in text production increases complexity in authorship. In two empirical studies (n1 = 30 & n2 = 96), we investigate authorship and ownership in human-AI collaboration for personalized language generation. We show an AI Ghostwriter Effect: Users do not consider themselves the owners and authors of AI-generated text but refrain from publicly declaring AI authorship. Personalization of AI-generated texts did not impact the AI Ghostwriter Effect, and higher levels of participants’ influence on texts increased their sense of ownership. Participants were more likely to attribute ownership to supposedly human ghostwriters than AI ghostwriters, resulting in a higher ownership-authorship discrepancy for human ghostwriters. Rationalizations for authorship in AI ghostwriters and human ghostwriters were similar. We discuss how our findings relate to psychological ownership and human-AI interaction to lay the foundations for adapting authorship frameworks and user interfaces in AI in text-generation tasks.

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Publikationsform: Artikel in einer Zeitschrift
Begutachteter Beitrag: Ja
Keywords: text generation; large language models; authorship; ownership
Institutionen der Universität: Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IX > Lehrstuhl Angewandte Informatik IX - Univ.-Prof. Dr. Daniel Buschek
Fakultäten
Fakultäten > Fakultät für Mathematik, Physik und Informatik
Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik IX
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik
Eingestellt am: 18 Jan 2024 09:54
Letzte Änderung: 08 Feb 2024 13:03
URI: https://eref.uni-bayreuth.de/id/eprint/88273