Grasping AI: experiential exercises for designers

Dave Murray-Rust*, Maria Luce Lupetti, Iohanna Nicenboim, Wouter van der Hoog

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

21 Downloads (Pure)


Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into the functioning of physical and digital products, creating unprecedented opportunities for interaction and functionality. However, there is a challenge for designers to ideate within this creative landscape, balancing the possibilities of technology with human interactional concerns. We investigate techniques for exploring and reflecting on the interactional affordances, the unique relational possibilities, and the wider social implications of AI systems. We introduced into an interaction design course (n = 100) nine ‘AI exercises’ that draw on more than human design, responsible AI, and speculative enactment to create experiential engagements around AI interaction design. We find that exercises around metaphors and enactments make questions of training and learning, privacy and consent, autonomy and agency more tangible, and thereby help students be more reflective and responsible on how to design with AI and its complex properties in both their design process and outcomes.

Original languageEnglish
Number of pages21
JournalAI and Society
Publication statusPublished - 2023


  • AI exercises
  • Artificial intelligence
  • Design
  • Design education
  • Experiential methods
  • More-than-human design
  • Prototyping


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