mlsanityData to 14 Oct 2026

XAIxArts Manifesto: Explainable AI for the Arts

arXiv 2502.21220 ↗First posted 28 Feb 2025cs.HC cs.AIcited by 7

Not on the map. Why?

Abstract (arXiv)

Explainable AI (XAI) is concerned with how to make AI models more understandable to people. To date these explanations have predominantly been technocentric - mechanistic or productivity oriented. This paper introduces the Explainable AI for the Arts (XAIxArts) manifesto to provoke new ways of thinking about explainability and AI beyond technocentric discourses. Manifestos offer a means to communicate ideas, amplify unheard voices, and foster reflection on practice. To supports the co-creation and revision of the XAIxArts manifesto we combine a World Caf'e style discussion format with a living manifesto to question four core themes: 1) Empowerment, Inclusion, and Fairness; 2) Valuing Artistic Practice; 3) Hacking and Glitches; and 4) Openness. Through our interactive living manifesto experience we invite participants to actively engage in shaping this XIAxArts vision within the CHI community and beyond.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 14 of its 41 references that are in the map. First posted on arXiv 28 Feb 2025.

Builds on

14 of 41 references.

References · 14

  1. 2018A Survey Of Methods For Explaining Black Box Modelscited by 973
  2. 2020Questioning the AI: Informing Design Practices for Explainable AI User Experiencescited by 253
  3. 2021Towards Relatable Explainable AI with the Perceptual Processcited by 27
  4. 2020To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehiclescited by 21
  5. 2020ExplAIn: Explanatory Artificial Intelligence for Diabetic Retinopathy Diagnosiscited by 16
  6. 2023AIxArtist: A First-Person Tale of Interacting with Artificial Intelligence to Escape Creative Blockcited by 4
  7. 2024Explainability Paths for Sustained Artistic Practice with AIcited by 4
  8. 2024A Mapping Strategy for Interacting with Latent Audio Synthesis Using Artistic Materialscited by 2
  9. 2024Reducing Barriers to the Use of Marginalised Music Genres in AIcited by 2
  10. 2024Exploring Use and Perceptions of Generative AI Art Tools by Blind Artistscited by 2
  11. 2023Artistic control over the glitch in AI-generated motion capturecited by 1
  12. 2023Explaining the Arts: Toward a Framework for Matching Creative Tasks with Appropriate Explanation Mediumscited by 1
2 more
  1. 2023Antagonising explanation and revealing bias directly through sequencing and multimodal inferencecited by 1
  2. 2024Looking Back, Moving Forward: A First-Person Perspective Of How Past Artificial Intelligence Encounters Shape Today's Creative Practicecited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 4.

7 papers.

  1. 2025Explainability-in-Action: Enabling Expressive Manipulation and Tacit Understanding by Bending Diffusion Models in ComfyUIcited by 1
  2. 2026AttentionBender: Manipulating Cross-Attention in Video Diffusion Transformers as a Creative Probecited by 1
  3. 2025Attention of a Kiss: Exploring Attention Maps in Video Diffusion for XAIxArtscited by 0
  4. 2025Why Open Small AI Models Matter for Interactive Artcited by 0
  5. 2026Emergent, not Immanent: A Baradian Reading of Explainable AIcited by 0
  6. 2026Unboxing Diffusion Models for the Arts: Interactive Model Bending and Practice-Based Explainabilitycited by 0
  7. 2026Conducting Stylistic Analysis of Paintings through an Art-History Agentcited by 0