Pei-Ying Lin will be working on two projects during her fellowship.
The first, Hunting for AI Beasts, investigates how we perceive and classify AI. Rather than
focusing on algorithms, she looks at how communities shape our understanding of AI—through
use, data, and interaction. These human-AI relationships often transform both parties.
Drawing from the history of biological taxonomy, she aims to develop a new system for
categorizing AIs based on observable traits in the wild.
The second project is an artist residency with RepliFate, a cancer research network. Here, she
observes wet lab work as a form of craftsmanship. She is interested in the tacit knowledge not
captured in lab books or papers: how researchers attune their bodies and senses to protocols,
and how they interpret invisible entities (like microorganisms) through indirect observation.