Observation, judgment, explanation, and argument were once regarded as stable elements of knowledge-making. Today, as large language models participate in writing, searching, synthesis, prediction, and even decision-making, knowledge is no longer simply discovered and expressed: it is also being produced anew and structured in advance. Drawing on philosophy, cognitive science, computing, and research practice, Fangtang Institute seeks to explore a shared question: as AI begins to transform our paths to understanding the world, our ways of distinguishing truth from falsehood, and the conditions under which consensus takes shape, how should we rethink knowledge and experience—and how are we to assess unfamiliar forms of knowledge generated by AI?
Epistemology in the Age of AI
Rethinking knowledge and experience as AI transforms our paths to understanding the world, our ways of distinguishing truth from falsehood, and the conditions of consensus.