mlsanityData to 14 Oct 2026

Designing Participatory AI: Creative Professionals' Worries and Expectations about Generative AI

arXiv 2303.08931 ↗First posted 15 Mar 2023cs.HC cs.AIcited by 20

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Abstract (arXiv)

Generative AI, i.e., the group of technologies that automatically generate visual or written content based on text prompts, has undergone a leap in complexity and become widely available within just a few years. Such technologies potentially introduce a massive disruption to creative fields. This paper presents the results of a qualitative survey (N = 23) investigating how creative professionals think about generative AI. The results show that the advancement of these AI models prompts important reflections on what defines creativity and how creatives imagine using AI to support their workflows. Based on these reflections, we discuss how we might design textitparticipatory AI in the domain of creative expertise with the goal of empowering creative professionals in their present and future coexistence with AI.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). Builds on 2 of its 29 references that are in the map. First posted on arXiv 15 Mar 2023.

Builds on

2 of 29 references.

References · 2

  1. 2022Power to the People? Opportunities and Challenges for Participatory AIcited by 138
  2. 2019Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creatorscited by 31

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 4; 2024: 5; 2025: 7; 2026: 4.

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  1. 2024Design Principles for Generative AI Applicationscited by 57
  2. 2024AI-Augmented Brainwriting: Investigating the use of LLMs in group ideationcited by 44
  3. 2024Participation in the age of foundation modelscited by 32
  4. 2023Summon a Demon and Bind it: A Grounded Theory of LLM Red Teamingcited by 21
  5. 2023User Experience Design Professionals' Perceptions of Generative Artificial Intelligencecited by 16
  6. 2023NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMscited by 14
  7. 2024"It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Modelscited by 14
  8. 2025Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Processcited by 14
  9. 2025De-skilling, Cognitive Offloading, and Misplaced Responsibilities: Potential Ironies of AI-Assisted Designcited by 11
  10. 2025"Before, I Asked My Mom, Now I Ask ChatGPT": Visual Privacy Management with Generative AI for Blind and Low-Vision Peoplecited by 6
  11. 2024Hacc-Man: An Arcade Game for Jailbreaking LLMscited by 4
  12. 2025Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaborationcited by 4
8 more
  1. 2023Skill Check: Some Considerations on the Evaluation of Gamemastering Models for Role-playing Gamescited by 3
  2. 2025Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Workcited by 3
  3. 2025ACAI for SBOs: AI Co-creation for Advertising and Inspiration for Small Business Ownerscited by 2
  4. 2025LouvreSAE: Sparse Autoencoders for Interpretable and Controllable Style Transfercited by 1
  5. 2026Editorial Alignment: A Participatory Approach to Engaging Editorial Expertise in LLM-mediated Knowledge Disseminationcited by 0
  6. 2026Expectations and Practices around AI Disclosure in CS Researchcited by 0
  7. 2026No Pixel Left Behind: Filling Gaps in Anime Colorizationcited by 0
  8. 2026MAIA: Multi-Agent Intent Articulation for Requirement Discovery in Art Commissionscited by 0