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. Furthermore, we are employing AI methods to accelerate the process of creating structured historical databases from diverse textual sources. Another application involves the integration of AI with Agent-Based Models for system-of-systems simulations, where AI is used to test the consequences of various policies within the dynamics of different systems, such as political, economic, cultural, and environmental systems.