Alekseev, AleksandrAleksandrAlekseevStrobel, ChristinaChristinaStrobel2026-02-122026-02-122026-01-22Journal of Behavioral and Experimental Economics 121: 102525 (2026)https://hdl.handle.net/11420/61512We introduce a taxonomy of artificial intelligence (AI) experiments. Our taxonomy produces four types of AI experiments: conceptual AI experiments, stylized AI experiments, quasi-natural AI experiments, and natural AI experiments. At the core of our taxonomy is the sophistication of AI used, which we evaluate using a simple and robust proxy test of whether AI is developed exclusively for a research study. We discuss the advantages, disadvantages, and best use cases for each type and illustrate the use of each type in various examples. We provide a guide on how to choose the type of AI experiment that best fits a given research question.en2214-80432026Elsevierhttps://creativecommons.org/licenses/by/4.0/Artificial intelligenceAutomationEconomic experimentsExperimental designComputer Science, Information and General Works::006: Special computer methods::006.3: Artificial IntelligenceNatural Sciences and Mathematics::519: Applied Mathematics, ProbabilitiesJournal Articlehttps://doi.org/10.15480/882.1670510.1016/j.socec.2026.10252510.15480/882.16705Journal Article