nam 22 uu 4500 10.59704/a3baf260ef374567 DE-Verfassungsblog cr||||| 261014s2026||||xx#|||||o|||| ||| 0|eng|| 10.59704/a3baf260ef374567 doi eng 342 23 Chilton, Adam Author aut The (Currently) Uneven Intelligence of AI in Comparative Constitutional Law - From Years of Research to a Single Prompt? Chilton, Adam Verfassungsblog 2026-10-14 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Our results suggest that LLMs’ usefulness for comparative constitutional data collection depends on what researchers ask them to code. They may be able to produce datasets that simply code constitutional facts, but current versions of LLMs do not perform well when asked to create datasets that require interpreting abstract constitutional concepts or reasoning about law. However, since the models make errors in systematic ways, researchers should always be cautious about treating LLM-generated data as interchangeable with expert-coded data. CC BY-SA 4.0 AI Artificial Intelligence Comparative Constitutionalism Research Langlois, Arthur Author aut Dittmer, Jan-Ulrich Author aut Versteeg, Mila Author aut Max Steinbeis Verfassungsblog gGmbH Verfassungsblog 2366-7044 https://verfassungsblog.de/the-currently-uneven-intelligence-of-ai-in-comparative-constitutional-law/ raw object