Using Artificial Intelligence for Historical Research

Several artificial intelligence techniques, such as large language models, are being developed for applications in historical research and their contributions to contemporary policymaking. This includes a collaboration with the Max Planck Library to automate the process of tracking and extracting expert evidence from written publications. This AI system can efficiently locate expert statements on a selected topic and generate a concise summary review. We plan to utilize this AI system to evaluate expert consensus, verify the level of expertise, and seamlessly incorporate expert evidence into historical models. We are also using AI methods to speed up the process of creating structured historical databases from various text sources. Another application is the integration of AI with agent-based modeling for system-of-systems simulations, where AI is used to test the consequences of different policies within the dynamics of diverse systems, such as political, economic, cultural and ecological systems.