Vinchon, Florent, Lubart, Todd, Bartolotta, Sabrina, Gironnay, Valentin, Botella, Marion, Bourgeois-Bougrine, Samira, Burkhardt, Jean-Marie, Bonnardel, Nathalie, Corazza, Giovanni Emanuele and Glăveanu, Vlad et al.
ORCID: 0000-0002-6029-6718
(2023)
Artificial Intelligence & Creativity: A Manifesto for Collaboration.
The Journal of Creative Behavior, 57
(4).
472 -484.
ISSN 2162-6057
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.
Metadata
| Item Type: | Article (Published) |
|---|---|
| Refereed: | Yes |
| Uncontrolled Keywords: | creativity; artificial intelligence; collaboration |
| Subjects: | Computer Science > Artificial intelligence Social Sciences > Education |
| DCU Faculties and Centres: | DCU Faculties and Schools > DCU Business School Research Institutes and Centres > Centre for Possibility Studies |
| Publisher: | Wiley Periodicals LLC on behalf of Creative Education Foundation (CEF). |
| Official URL: | https://onlinelibrary.wiley.com/doi/full/10.1002/j... |
| Copyright Information: | Authors |
| ID Code: | 33089 |
| Deposited On: | 12 Aug 2026 13:54 by Tam Nguyen . Last Modified 12 Aug 2026 13:54 |
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