Reminder: Experimental Economics Special Issue Announcement & Call for Papers
Marta Serra-Garcia
Special issue of Experimental Economics on Human-AI Interaction
Humans interact with a variety of forms of AI (Large Language Models (LLMs), algorithms, etc.) across many domains, and the frequency of these interactions is expected to increase. Their impact on human behavior and markets crucially depends on how humans perceive algorithms and interact with them. Evidence is needed to evaluate these impacts and understand the fundamental mechanisms that drive human decision-making when interacting with machines. While there is growing evidence of how individuals interact with algorithms (e.g. Burton et al., 2020; Chugonova and Sele, 2022; Bayer and Renou, 2024; Dargnies et al., 2024), many open questions remain, and these questions are changing as LLMs are becoming more broadly used (Capraro et al., 2024).
In the field, the parameters determining the ‘behavior of AI’ are often hidden. Experiments are an ideal tool for controlling these parameters and environments and an important part of the evidence needed to evaluate the impact of algorithms and LLMs on human behavior.
This special issue of Experimental Economics aims to bring together new evidence on how humans interact with algorithms, LLMs and related technologies, and how these interactions can help us better understand fundamental features of human behavior. We invite manuscripts studying all aspects of human-AI interactions. These manuscripts can include new evidence, based on laboratory, online, or (artefactual) field experiments, or be meta-analyses and surveys of this rapidly growing literature.
Guest Editors
Yan Chen (University of Michigan)
Daniel Martin (University of California, Santa Barbara)
Qiazhou Mei (University of Michigan)
Juanjuan Meng (Peking University)
Hans-Theo Normann (University of Dusseldorf)
Important Dates:
Submission Deadline: January 15, 2026.