  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.
