State of the Art in AI-Based Co-Creativity
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 30 October 2025 | Viewed by 2306
Special Issue Editors
Interests: artificial intelligence; complex systems; computer-supported cooperative work; human–AI interaction; hybrid intelligent systems; scientometrics; social computing; science and technology studies
Interests: applied artificial intelligence; computational intelligence; computer-aided engineering; evolutionary computation; genetic algorithms; machine learning; metaheuristics; multi-agent systems; scheduling; swarm intelligence
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Interests: computational intelligence; intelligent control; computational learning; machine learning; fuzzy systems; neural networks; optimization; modeling; simulation; estimation; prediction; control; big data; robotics; mobile robotics and intelligent vehicles; robot manipulators control; sensing; soft sensors; automation; industrial systems; embedded systems; real-time systems; general architectures and systems for controlling robot manipulators; mobile robots
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Special Issue Information
Dear Colleagues,
Generative artificial intelligence (AI) is on the cusp of transforming the very nature of creativity due to its unique ability to unlock new ideation states and overcome creativity blocks that are common in artistic expressions. From virtual art exhibitions to fashion design and furniture manufacturing, there is now a vast array of text-to-image AI-enabled generators (e.g., DALL-E) that allow artists and other art professionals to explore new imaginaries by creating links to photorealistic images based on text prompts tailored to specific genres, styles, and purposes. This synthetic method of generating creative content with AI involvement also offers unprecedented opportunities in areas like music through co-creative AI dance partners and songwriting assistants. As human–AI co-creativity tradeoffs become more and more common in everyday creative tasks, individuals from a diverse assortment of artistic fields and professions now face unparalleled challenges when using generative AI, such as dependency on pre-training data and lack of ownership and control over AI-generated creations, just to mention a few.
This Special Issue invites state-of-the-art research in human–AI co-creativity. The topics can originate from any kind of creative forms and imaginaries involving AI-infused support tools, including but not limited to AI-steered music composition and songwriting, interactive storytelling, AI-assisted painting and drawing, graphic design through generative AI, and AI-bridged creative language arts. Particular emphasis is given to studies addressing the design and evaluation of human–AI systems supporting co-creative experiences with various media types (e.g., text, audio, image, and video); ethical considerations, best practices, and potential harms of human–AI co-creativity; and methodological proposals for the use of AI in both physical and digital co-creative scenarios.
Dr. António Correia
Prof. Dr. Vincent A. Cicirello
Prof. Dr. Rui Araújo
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- creative arts
- creativity
- generative AI
- human–AI co-creativity
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