Ceci n’est pas une chaise: Emerging practices in designer-AI collaboration
Open accessAbstract
Emerging practices of using ‘off the shelf’ AI as a creative partner in design processes are receiving increasing attention in design research. This paper takes the well-known concept of ‘framing’ in design, along with the Schönian concept of ‘surprise’ to explore how a human-AI dialogue could work. The approach taken is practice-based, with the human designer documenting her process of inquiry and decision making. We show how artificial creativity is expressed through misfiring object detection algorithms, and further how these ‘mistakes’ can be perceived and interpreted by the human designer. The contribution of the research is in laying the foundations for a novel human-AI dialogic practice.
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Bias in AI's training dataset and the need to balance predictability and randomness in its interpretations could result in erroneous AI outputs.
“Additionally, bias in the AI's training dataset and the need to balance predictability and randomness in its interpretations could result in erroneous AI outputs (Van der Burg et al., 2022).”
From Facilitator or hindrance? The impact of AI on university students' higher-order thinking skills in complex problem solving (2025) · cites this paper as Van der Burg et al., 2022
The Discussion links uneven representation in the training data to lower detection accuracy for some categories, and §3.3 describes faulty interpretations and mislabelling. But the Discussion presents the balance between predictability and randomness as a way to generate useful creative surprise, not as a cause of erroneous outputs. (LLM, conf=0.86)
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- Authors
- van der Burg, V., Akdag Salah, A., Chandrasegaran, S., & Lloyd, P.
- Affiliations
- TU Delft, The Netherlands
- Utrecht University, The Netherlands
- Delft University of Technology (NL)
- Venue
- Proceedings of DRS
- Publisher
- Design Research Society
- Published
- 2022-06-25
- ISSN
- 2398-3132 (ISSN-L)
- OpenAlex
- W4283029392
- Cited by
- 10
- References
- 44
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 3 · 2023: 1 · 2022: 1
- FWCI
- 6.53
- Type
- conference paper
- Language
- fr
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc
- Locations
- Proceedings of DRS (publishedVersion, cc-by-nc)
- Research Repository (Delft University of Technology) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Design Education and Practice
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
- Keywords
- human-AI dialogue, computational creativity, design process, design decision-making
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