Design Knowledge in AI: Navigating Temporality and Continuity
Artificial intelligence (AI) is advancing at a rapid pace, particularly with regard to large language models (LLMs) where capabilities, applications, and interfaces are frequently reshaped. While these developments create new opportunities for design research, they also bring forth important considerations regarding the temporality and continuity of design knowledge. The fast-paced evolution of AI reshapes research focus and methodologies, often rendering previously established knowledge obsolete. Additionally, emerging concerns related to usability, ethics, and societal impact necessitate ongoing reassessment of research priorities. Despite these challenges, foundational theories in design research remain relevant, offering valuable frameworks for sustaining design inquiry amid AI's rapid progression.
This one-day workshop examines how design research can navigate AI's evolving technical landscape while fostering knowledge that remains relevant over time. It aims to equip design researchers with strategies to sustain meaningful contributions in an ever-changing technological landscape.