Biodesign x AI
Interactions in the Algorithmic Wet Lab
Raphael Kim (Biodesign Academy, London)
Yuning Chen (The University of Edinburgh)
Carolina Ramirez-Figueroa (Royal College of Art)
Jiwei Zhou (KTH Royal Institute of Technology)
Orkan Telhan (Design.bio, Biodesign Challenge)
Iohanna Nicenboim (TU Delft - Industrial Design Engineering, University Austria)
Martyn Dade-Robertson (University of Northumbria)
Margherita Pevere (Linköping University)
Zoë Robaey (Wageningen University & Research)
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Abstract
Artificial intelligence is entering biological laboratories not only as a computational tool but as a co-experimenter that proposes, selects, and learns from interactions with living matter. As models increasingly steer protein engineering, material morphogenesis, and bioart, design decisions and feedback loops become distributed across humans, algorithms, and organisms. This panel stages a focused debate around three questions for HCI: Who designs these hybrid workflows? Where does responsibility lie when outcomes emerge from coupled human-algorithm-organism systems? What counts as interaction when learning unfolds simultaneously in code, cells, and infrastructures? Panelists from design research, computational biology, ethics, and art offer contrasting provocations grounded in cases from automated wet labs, living interfaces, and critical biodesign. Through case-based debate and moderated audience discussion, the session introduces the algorithmic wet lab as a new locus of interaction, offering attendees an expanded vocabulary of material intelligence and contested directions for AI × Biodesign within HCI.
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