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

arXiv: https://arxiv.org/abs/2303.08931 · HTML: https://mlsanity.com/paper/2303.08931/

## 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 (most cited first, 2 of 2)

- [Power to the People? Opportunities and Challenges for Participatory AI](https://mlsanity.com/paper/2209.07572/) (2022)
- [Friend, Collaborator, Student, Manager: How Design of an AI-Driven Game Level Editor Affects Creators](https://mlsanity.com/paper/1901.06417/) (2019)

## Built on by (most cited first, 20 of 20)

- [Design Principles for Generative AI Applications](https://mlsanity.com/paper/2401.14484/) (2024)
- [AI-Augmented Brainwriting: Investigating the use of LLMs in group ideation](https://mlsanity.com/paper/2402.14978/) (2024)
- [Participation in the age of foundation models](https://mlsanity.com/paper/2405.19479/) (2024)
- [Summon a Demon and Bind it: A Grounded Theory of LLM Red Teaming](https://mlsanity.com/paper/2311.06237/) (2023)
- [User Experience Design Professionals' Perceptions of Generative Artificial Intelligence](https://mlsanity.com/paper/2309.15237/) (2023)
- [NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs](https://mlsanity.com/paper/2312.11803/) (2023)
- ["It was 80% me, 20% AI": Seeking Authenticity in Co-Writing with Large Language Models](https://mlsanity.com/paper/2411.13032/) (2024)
- [Co-Writing with AI, on Human Terms: Aligning Research with User Demands Across the Writing Process](https://mlsanity.com/paper/2504.12488/) (2025)
- [De-skilling, Cognitive Offloading, and Misplaced Responsibilities: Potential Ironies of AI-Assisted Design](https://mlsanity.com/paper/2503.03924/) (2025)
- ["Before, I Asked My Mom, Now I Ask ChatGPT": Visual Privacy Management with Generative AI for Blind and Low-Vision People](https://mlsanity.com/paper/2507.00286/) (2025)
- [Hacc-Man: An Arcade Game for Jailbreaking LLMs](https://mlsanity.com/paper/2405.15902/) (2024)
- [Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration](https://mlsanity.com/paper/2509.10652/) (2025)
- [Skill Check: Some Considerations on the Evaluation of Gamemastering Models for Role-playing Games](https://mlsanity.com/paper/2309.13702/) (2023)
- [Exploring Collaborative GenAI Agents in Synchronous Group Settings: Eliciting Team Perceptions and Design Considerations for the Future of Work](https://mlsanity.com/paper/2504.14779/) (2025)
- [ACAI for SBOs: AI Co-creation for Advertising and Inspiration for Small Business Owners](https://mlsanity.com/paper/2503.06729/) (2025)
- [LouvreSAE: Sparse Autoencoders for Interpretable and Controllable Style Transfer](https://mlsanity.com/paper/2512.18930/) (2025)
- [Editorial Alignment: A Participatory Approach to Engaging Editorial Expertise in LLM-mediated Knowledge Dissemination](https://mlsanity.com/paper/2606.20258/) (2026)
- [Expectations and Practices around AI Disclosure in CS Research](https://mlsanity.com/paper/2608.23271/) (2026)
- [No Pixel Left Behind: Filling Gaps in Anime Colorization](https://mlsanity.com/paper/2609.00800/) (2026)
- [MAIA: Multi-Agent Intent Articulation for Requirement Discovery in Art Commissions](https://mlsanity.com/paper/2609.12097/) (2026)

## 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.