Nikolai Cook, František Bartoš, Pedro R. D. Bom, Sebastian Gechert, Klára Kantová, Jerome Geyer‐Klingeberg, Tomáš Havránek, Zuzana Irsova, Martina Luskova, Matěj Opatrný, Franz Prante, Heiko J. Rachinger, T. D. Stanley
- Meta-analysis is widely accepted to be the most rigorous and objective approach to the synthesis, interpretation, and understanding of findings from specific areas of empirical economics research. With the advent of increasingly capable generative artificial intelligence and AI's potential to transform the practice of meta-analysis, the Meta-Analysis of Economics Research Network (MAER-Net) has adopted this set of principles. These principles are meant to provide guidance to meta-researchers, as well as editors and reviewers, in the use of AI in meta-analysis of economics research. Future meta-analyses that employ AI are expected to embody these guiding principles and to follow the associated Reporting Guidelines for Meta-Analysis in Economics - Updated for AI (Cook et al. 2026).