mlsanityData to 7 Oct 2026

Explainable Computational Creativity

arXiv 2205.05682 ↗First posted 11 May 2022cs.HC cs.AIcited by 8

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

  1. 2019Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIcited by 1,543
  2. 2019In a Silent Way: Communication Between AI and Improvising Musicians Beyond Soundcited by 11

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Cited by year

Citing papers per year: 2022: 2; 2023: 3; 2024: 2; 2025: 1.

8 papers.