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?