Explainable Computational Creativity
Not on the map. Why?
Abstract (arXiv)
Human collaboration with systems within the Computational Creativity (CC) field is often restricted to shallow interactions, where the creative processes, of systems and humans alike, are carried out in isolation, without any (or little) intervention from the user, and without any discussion about how the unfolding decisions are taking place. Fruitful co-creation requires a sustained ongoing interaction that can include discussions of ideas, comparisons to previous/other works, incremental improvements and revisions, etc. For these interactions, communication is an intrinsic factor. This means giving a voice to CC systems and enabling two-way communication channels between them and their users so that they can: explain their processes and decisions, support their ideas so that these are given serious consideration by their creative collaborators, and learn from these discussions to further improve their creative processes. For this, we propose a set of design principles for CC systems that aim at supporting greater co-creation and collaboration with their human collaborators.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 2 of its 36 references that are in the map. First posted on arXiv 11 May 2022.
Builds on
2 of 36 references.
References · 2
Built on by
Citing papers per year: 2022: 2; 2023: 3; 2024: 2; 2025: 1.
8 papers.
- 20223DALL-E: Integrating Text-to-Image AI in 3D Design Workflowscited by 41
- 2023Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systemscited by 20
- 2023Exploring XAI for the Arts: Explaining Latent Space in Generative Musiccited by 8
- 2024Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Modelscited by 7
- 2022Challenges in creative generative models for music: a divergence maximization perspectivecited by 3
- 2023Grasping AI: experiential exercises for designerscited by 3
- 2024Picturing Ambiguity: A Visual Twist on the Winograd Schema Challengecited by 3
- 2025GRAPHIC--Guidelines for Reviewing Algorithmic Practices in Human-centred Design and Interaction for Creativitycited by 0
- 2025GRAPHIC--Guidelines for Reviewing Algorithmic Practices in Human-centred Design and Interaction for Creativity21 Nov 2025
- 2024Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models20 Jun 2024
- 2024Picturing Ambiguity: A Visual Twist on the Winograd Schema Challenge25 May 2024
- 2023Grasping AI: experiential exercises for designers2 Oct 2023
- 2023Exploring XAI for the Arts: Explaining Latent Space in Generative Music10 Aug 2023
- 2023Beyond Prompts: Exploring the Design Space of Mixed-Initiative Co-Creativity Systems3 May 2023
- 2022Challenges in creative generative models for music: a divergence maximization perspective16 Nov 2022
- 20223DALL-E: Integrating Text-to-Image AI in 3D Design Workflows20 Oct 2022