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Design Aesthetics after Machine Learning
Jesse Benjamin, TU Eindhoven
Abstract:
The rapidly solidifying design conventions around generative ‘AI’ interfaces call for more in-depth designerly responses to the materiality of such systems. While machine learning (ML) systems’ seeming immateriality and obscure technical properties have been engaged by design researchers, such engagements are largely ad hoc and lack cohesion into a larger movement of practice-led inquiry. In this talk, I will outline a research trajectory combining exemplars of material investigations into a library of conceptual stances on and vectors for material practice with ML systems, and align it with recent trends in adaptation of process philosophical framings in HCI design research.
Bio:
Jesse Josua Benjamin (he/him) is assistant professor “Design Aesthetics of Intelligent Adaptive Systems” at the department of Industrial Design of the Eindhoven University of Technology. With a graphic and interaction design as well as philosophy of technology background, he interrogates the aesthetics of emerging technologies in a synthetic approach combining practice, theory and philosophical analyses to generate conceptual vocabularies and design proposals.