Details
| Original language | English |
|---|---|
| Title of host publication | AIES '23 |
| Subtitle of host publication | Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society |
| Pages | 890-900 |
| Number of pages | 11 |
| ISBN (electronic) | 9798400702310 |
| Publication status | Published - 29 Aug 2023 |
| Event | 2023 AAAI / ACM Conference on Artificial Intelligence, Ethics, and Society, AIES 2023 - Montreal, Canada Duration: 8 Aug 2023 → 10 Aug 2023 |
Abstract
The recent wave of generative AI (GAI) systems like Stable Diffusion that can produce images from human prompts raises controversial issues about creatorship, originality, creativity and copyright. This paper focuses on creatorship: who creates and should be credited with the outputs made with the help of GAI? Existing views on creatorship are mixed: some insist that GAI systems are mere tools, and human prompters are creators proper; others are more open to acknowledging more significant roles for GAI, but most conceive of creatorship in an all-or-nothing fashion. We develop a novel view, called CCC (collective-centered creation), that improves on these existing positions. On CCC, GAI outputs are created by collectives in the first instance. Claims to creatorship come in degrees and depend on the nature and significance of individual contributions made by the various agents and entities involved, including users, GAI systems, developers, producers of training data and others. Importantly, CCC maintains that GAI systems can sometimes be part of a co-creating collective. We detail how CCC can advance existing debates and resolve controversies around creatorship involving GAI.
Keywords
- collective-centered, copyright, creatorship, credit attribution, ethics, Generative AI, image synthesis
ASJC Scopus subject areas
- Computer Science(all)
- Artificial Intelligence
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AIES '23: Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society. 2023. p. 890-900.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Diffusing the Creator
T2 - 2023 AAAI / ACM Conference on Artificial Intelligence, Ethics, and Society, AIES 2023
AU - Khosrowi, Donal
AU - Finn, Finola
AU - Clark, Elinor
N1 - Funding Information: We wish to thank Andrew Law, Jannik Zeiser and Ahmad Dawud for helpful comments on earlier versions of this article. Our research was supported by a grant from the Ministry of Science and Culture of Lower Saxony (MWK), Grant No.: 11-7620-1155/2021.
PY - 2023/8/29
Y1 - 2023/8/29
N2 - The recent wave of generative AI (GAI) systems like Stable Diffusion that can produce images from human prompts raises controversial issues about creatorship, originality, creativity and copyright. This paper focuses on creatorship: who creates and should be credited with the outputs made with the help of GAI? Existing views on creatorship are mixed: some insist that GAI systems are mere tools, and human prompters are creators proper; others are more open to acknowledging more significant roles for GAI, but most conceive of creatorship in an all-or-nothing fashion. We develop a novel view, called CCC (collective-centered creation), that improves on these existing positions. On CCC, GAI outputs are created by collectives in the first instance. Claims to creatorship come in degrees and depend on the nature and significance of individual contributions made by the various agents and entities involved, including users, GAI systems, developers, producers of training data and others. Importantly, CCC maintains that GAI systems can sometimes be part of a co-creating collective. We detail how CCC can advance existing debates and resolve controversies around creatorship involving GAI.
AB - The recent wave of generative AI (GAI) systems like Stable Diffusion that can produce images from human prompts raises controversial issues about creatorship, originality, creativity and copyright. This paper focuses on creatorship: who creates and should be credited with the outputs made with the help of GAI? Existing views on creatorship are mixed: some insist that GAI systems are mere tools, and human prompters are creators proper; others are more open to acknowledging more significant roles for GAI, but most conceive of creatorship in an all-or-nothing fashion. We develop a novel view, called CCC (collective-centered creation), that improves on these existing positions. On CCC, GAI outputs are created by collectives in the first instance. Claims to creatorship come in degrees and depend on the nature and significance of individual contributions made by the various agents and entities involved, including users, GAI systems, developers, producers of training data and others. Importantly, CCC maintains that GAI systems can sometimes be part of a co-creating collective. We detail how CCC can advance existing debates and resolve controversies around creatorship involving GAI.
KW - collective-centered
KW - copyright
KW - creatorship
KW - credit attribution
KW - ethics
KW - Generative AI
KW - image synthesis
UR - http://www.scopus.com/inward/record.url?scp=85173620446&partnerID=8YFLogxK
U2 - 10.1145/3600211.3604716
DO - 10.1145/3600211.3604716
M3 - Conference contribution
AN - SCOPUS:85173620446
SP - 890
EP - 900
BT - AIES '23
Y2 - 8 August 2023 through 10 August 2023
ER -