  In this article, we explore the transformative potential of integrating
generative AI, particularly Large Language Models (LLMs), into behavioral and
experimental economics to enhance internal validity. By leveraging AI tools,
researchers can improve adherence to key exclusion restrictions and in
particular ensure the internal validity measures of mental models, which often
require human intervention in the incentive mechanism. We present a case study
demonstrating how LLMs can enhance experimental design, participant engagement,
and the validity of measuring mental models.
