Humanistic AI Conference: Generative Models and the Future of Cultural and Historical Interpretation

Sponsored by the Rhodes Information Initiative, the Humanistic AI conference is designed to foster substantive dialogue between the humanities and the sciences. The conference will explore questions such as: How might large language models be used to simulate or operationalize historical knowledge? How is generative AI reshaping concepts such as authorship, interpretation, and evidence? And how might current AI models be redesigned to better accommodate humanistic perspectives and theories? REGISTRATION: duke.is/HumAIreg SPEAKERS (talk descriptions: duke.is/HumAIspeakers) Lauren F. Klein On Models and Marbles: Reasoning and interpretation in the Age of AI Eamon Duede: This talk examines intellectual distance and impact across the sciences and humanities, and considers how AI may shape the future of humanistic scholarship. Hoyt Long Experiments in mindless reading with LLMs Emily Kadens Using AI to automate the structuring of historical data Maria Antoniak The Garden of Forking Prompts: How users explore narrative space in story generation Ted Underwood ChronoLogic: How do we know whether LLMs can represent the past?