Artificial intelligence is increasingly diffusing into design and creative education, reshaping how students ideate, iterate, and produce work. While these tools offer clear benefits in terms of speed and experimentation, they also challenge long-standing pedagogical assumptions regarding the importance of process, authorship, and studio-based learning.
Educators face a dual task: mitigating the risks AI poses to reflective, process-oriented design while simultaneously exploring ways to meaningfully integrate these technologies into curricula.
Through working group activities, this workshop examines these tensions to identify emerging strategies for the critical and transparent use of AI.
Together, we will address current knowledge gaps, establish a collaborative research agenda, and build a network of scholars committed to developing a design and creative education culture that empirically yet critically engages with AI.