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Generative AI and the Attribution of Credit in Artistic Creation
Khosrowi, Donal; FINN, Finola
2025
 

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Keywords :
Generative AI; creativity; authorship; creatorship; intellectual property; co-creation
Abstract :
[en] Generative AI systems that produce images from user prompts raise controversial questions about authorship, creativity, originality and copyright. Who is the creator of AI-generated images, and who should get credit for them? This talk presents a novel framework for understanding AI-generated content as inherently collaborative, demonstrating that creatorship comes in degrees and depends on the nature and significance of the contributions made by users, developers, training data contributors, and the AI systems themselves. By reframing these debates through the lens of distributed creativity, we can develop more nuanced and equitable approaches to crediting creative work in an increasingly AI-mediated artistic landscape.
Disciplines :
Art & art history
Philosophy & ethics
Author, co-author :
Khosrowi, Donal
FINN, Finola  ;  University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History and Historiography
Language :
English
Title :
Generative AI and the Attribution of Credit in Artistic Creation
Publication date :
20 November 2025
Event name :
Luxembourg Art Week
Event organizer :
Luxembourg Art Week, Kultur | lx – Arts Council Luxembourg, and University of Luxembourg
Event place :
Luxembourg, Luxembourg
Event date :
20 November 2025
Commentary :
Invited respondent: Caroline Sinders, Feminist and Critical AI designer, researcher, and artist (USA); Moderator: Cédric Kayser, expert culturel au département de la création et de la promotion artistiques ainsi qu’au service de l’innovation du ministère de la Culture (LU)
Available on ORBilu :
since 17 December 2025

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