I test whether AI can be trusted with facts, history, and public information.

Katryna Peart is an AI historiographer and evaluator who researches how AI systems handle long-form civic and institutional documents. She developed Civic Pair Prompting (CPP) and the Civic AI Evaluation Standard (CAES) to identify where those systems lose context, nuance, and trustworthiness.

Whose voice is this? What narrative is being pushed? Where does this flatten the truth? Through hands-on evaluation work and original research on how language models handle civic and historic documents, Katryna developed a practice around the gap between what AI claims and what it actually does. Katryna's work sits at the intersection of AI historiography and institutional memory — studying how generative systems construct, compress, and sometimes erase the records that communities depend on to understand themselves.

Her research focuses on the civic record: municipal documents, public histories, commemorative narratives, and institutional archives. She is the developer of Civic Pair Prompting (CPP), a replicable framework for evaluating municipal AI, and the Civic AI Evaluation Standard (CAES), a governance suite built for local government. Her work has appeared in Governing Magazine, Route Fifty, and PM Magazine. She holds an MA in Medieval and Modern History from Royal Holloway, University of London, and a BA in History from NYU.