Artificial Intelligence & Creativity: A Manifesto for Collaboration
Open accessAbstract
ABSTRACT With the advent of artificial intelligence (AI), the field of creativity faces new opportunities and challenges. This manifesto explores several scenarios of human–machine collaboration on creative tasks and proposes “fundamental laws of generative AI” to reinforce the responsible and ethical use of AI in the creativity field. Four scenarios are proposed and discussed: “Co‐Cre‐AI‐tion,” “Organic,” “Plagiarism 3.0,” and “Shut down,” each illustrating different possible futures based on the collaboration between humans and machines. In addition, we have incorporated an AI‐generated manifesto that also highlights important themes, ranging from accessibility and ethics to cultural sensitivity. The fundamental laws proposed aim to prevent AIs from generating harmful content and competing directly with humans. Creating labels and laws are also highlighted to ensure responsible use of AIs. The positive future of creativity and AI lies in a harmonious collaboration that can benefit everyone, potentially leading to a new level of creative productivity respecting ethical considerations and human values during the creative process.
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We are entering a new era of assisted creativity, where AI serves as a collaborative creative agent rather than an independent creator.
“Recent research suggests we are entering “a new era of ‘assisted creativity,’ where AI serves not as an independent creator but as a collaborative creative agent” (Habib et al., 2024; Vinchon et al., 2023).”
From AI-assisted design synthesis and human creativity in engineering education (2026) · cites this paper as Vinchon et al., 2023
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References 61 · Cited by 273
Research works printed but not linked: 5
- Elgammal, A. (2021, September 24). How artificial intelligence completed beethoven's unfinished tenth symphony. Smithsonian Magazine. https://www.smithsonianmag.com/innovation/how-artificial-intelligence-completed-beethovens-unfinished-10th- symphony-180978753/. [last accessed 19 March 2023]. Elsevier (Ed.). (2023, February 13). Publishing ethics for editors. Elsevier. https://www.elsevier.com/about/policies/publishing- ethics#Authors. [last accessed 19 March 2023].
- Erbschloe, A. (2021). The life and work of Bulgarian SF Writer Lyuben Dilov. SFRA Review, 51, 71-83.
- Hanchett Hanson, M., Amato, A., Durani, A., Hoyden, J., Koe, S., Sheagren, E., & Yang, Y. (2021). Creativity and improvised educa- tions: Case studies for understanding impact and implications. London: Routledge.
- Philippot, D. (2023, March 2). AI called to replace journalists at the German group Springer. Le Figaro. https://www.lefigaro.fr/ medias/l-ia-appelee-a-remplacer-des-journalistes-chez-le-groupe-allemand-springer-20230302. [last accessed 10 March 2023].
- Varshney, L.R. (2021). Limits theorems for creativity with intentionality, In ICCC. (pp. 390-393).
- Authors
- Vinchon, F., Lubart, T., Bartolotta, S., Gironnay, V., Botella, M., Bourgeois-Bougrine, S., Burkhardt, J., Bonnardel, N., Corazza, G. E., Glăveanu, V., Hanchett Hanson, M., Ivcevic, Z., Karwowski, M., Kaufman, J. C., Okada, T., Reiter‐Palmon, R., & Gaggioli, A.
- Affiliations
- Université Paris Cité (FR)
- Università Cattolica del Sacro Cuore (IT)
- Université Paris Cité and Univ. Gustave Eiffel, LaPEA
- Aix-Marseille Université (FR)
- University of Bologna (IT)
- Dublin City University (IE)
- Columbia University
- Yale University
- University of Wrocław (PL)
- University of Connecticut (US)
- The University of Tokyo (JP)
- University of Nebraska
- Corresponding author
- Vinchon, Florent
- ORCID
- Vinchon, Florent
- Lubart, Todd
- Bartolotta, Sabrina
- Gironnay, Valentin
- Botella, Marion
- Bourgeois-Bougrine, Samira
- Burkhardt, Jean‐Marie
- Bonnardel, Nathalie
- Corazza, Giovanni Emanuele
- Glăveanu, Vlad
- Hanchett Hanson, Michael
- Ivcevic, Zorana
- Karwowski, Maciej
- Kaufman, James C.
- Okada, Takeshi
- Reiter‐Palmon, Roni
- Gaggioli, Andrea
- Venue
- The Journal of Creative Behavior
- Publisher
- Wiley
- Published
- 2023-06-15
- Volume
- 57
- Issue
- 4
- Pages
- 472-484
- ISSN
- 0022-0175 (ISSN-L)
- 2162-6057
- OpenAlex
- W4380988459
- Cited by
- 273
- References
- 61
- Citations by year
- 2026: 102 · 2025: 106 · 2024: 58 · 2023: 6 · 2022: 1
- FWCI
- 68.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Journal of Creative Behavior (publishedVersion, cc-by-nc-nd)
- Dublin City University Open Access Institutional Repository (Dublin City University) (acceptedVersion)
- HAL AMU (submittedVersion, cc-by-nc-nd)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion, other-oa)
- Lincoln (University of Nebraska) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- PsyArXiv (OSF Preprints) (submittedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Keywords
- artificial intelligence, creativity, human-machine collaboration, generative AI, AI ethics, responsible AI use, co-creation, plagiarism, AI-generated content, cultural sensitivity, creative productivity, future scenarios
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