Expert panel

Our Expert Panel consists of 80 researchers from different universities and research institutions across the world who collaborated to develop the GUIDE-LLM checklist. The group brings together backgrounds in psychology, political science, economics, sociology, management, communication, and computational social science, alongside specialists in artificial intelligence, machine learning, and natural language processing. This interdisciplinary composition reflects the wide range of fields in which large language models (LLMs) are increasingly applied.

The panel includes scholars at different career stages and methodological traditions, combining experience in empirical behavioral research with technical expertise in developing and evaluating language models. The resulting framework should thus reflect broad disciplinary input and supports researchers, reviewers, and institutions in applying LLMs responsibly across diverse scientific contexts.

  • Stefan Feuerriegel, Munich Center for Machine Learning & LMU Munich, Munich, Germany
  • Christopher Barrie, New York University
  • M.J. Crockett, Department of Psychology, Princeton University & University Center for Human Values, Princeton University
  • Laura K. Globig, Department of Psychology and Neural Science, New York University
  • Killian L McLoughlin, Princeton University
  • Dan-Mircea Mirea, Department of Psychology, Princeton University
  • Arthur Spirling, Princeton University
  • Diyi Yang, Stanford NLP Group & Stanford Institute for Human-Centered Artificial Intelligence (HAI), Stanford University
  • Tim Althoff, Allen School of Computer Science & Engineering, University of Washington
  • Maria Antoniak, University of Colorado Boulder
  • Lisa P. Argyle, Purdue University
  • Ashwini Ashokkumar, Department of Psychology, Harvard University
  • Mohammad Atari, Department of Psychological and Brain Sciences, University of Massachusetts Amherst
  • Hannah Bailey, Carnegie Mellon Institute for Strategy and Technology, Carnegie Mellon University
  • Kevin Bauer, Goethe University Frankfurt
  • Umang Bhatt, University of Cambridge
  • Yidong Chai, City University of Hong Kong
  • Tanmoy Chakraborty, Indian Institute of Technology Delhi, India
  • Yanto Chandra, Department of Public and International Affairs, City University of Hong Kong
  • Huimin Chen, School of Journalism and Communication, Tsinghua University
  • Hal Daumé III, Department of Computer Science and AI Interdisciplinary Institute at Maryland, University of Maryland-College Park
  • Gianmarco De Francisci Morales, CENTAI
  • Morteza Dehghani, University of Southern California
  • Danica Dillion, Complexity Science Hub; The Ohio State University
  • Johannes C. Eichstaedt, Department of Psychology, Stanford University; Decision Sciences, INSEAD
  • Kerstin Forster, Munich Center for Machine Learning & LMU Munich
  • Dominique Geissler, Munich Center for Machine Learning & LMU Munich
  • Kurt Gray, The Ohio State University
  • Thomas L. Griffiths, Departments of Psychology and Computer Science, Princeton University
  • Jochen Hartmann, TUM School of Management, Technical University of Munich
  • Oliver P. Hauser, Department of Economics and Institute for Data Science and Artificial Intelligence, University of Exeter
  • James K. He, Societies, Inc.
  • Rahul Hemrajani, National Law School of India University, Bengaluru, India
  • Felix Holzmeister, Department of Economics, University of Innsbruck, Innsbruck, Austria
  • Angel Hsing-Chi Hwang, University of Southern California
  • Tiancheng Hu, University of Cambridge
  • Anna A. Ivanova, School of Psychology, Georgia Institute of Technology
  • Nils Köbis, Research Center Trustworthy Data Science and Security, University Duisburg-Essen
  • Yara Kyrychenko, University of Cambridge
  • Himabindu Lakkaraju, Harvard University
  • Jia Liu, Hong Kong University of Science and Technology
  • Abdurahman Maarouf, Munich Center for Machine Learning & LMU Munich
  • Sebastian Maier, Munich Center for Machine Learning & LMU Munich
  • Lennart Meincke, WHU - Otto Beisheim School of Management; Mack Institute for Innovation Management & The Wharton School, University of Pennsylvania
  • Rada Mihalcea, University of Michigan
  • Brent Mittelstadt, Oxford Internet Institute, University of Oxford & Weizenbaum Institute
  • Saif M. Mohammad, National Research Council Canada
  • Mor Naaman, Cornell Tech
  • Oded Netzer, Columbia University
  • Alice Oh, KAIST
  • Desmond C. Ong, The University of Texas at Austin
  • Barbara Plank, LMU Munich
  • Francesco Pierri, Politecnico di Milano
  • Iyad Rahwan, Max Planck Institute for Human Development, Center for Humans & Machines, Berlin, Germany
  • Talal Rahwan, New York University Abu Dhabi
  • Pooja S. B. Rao, International Institute of Information Technology Bangalore
  • Claire E. Robertson, Colby College
  • David M. Rothschild, Microsoft Research
  • Matthew J. Salganik, Princeton University
  • Eric Schulz, Institute for Human-Centered AI, Helmholtz Computational Health Center, Munich, Germany
  • Chirag Shah, University of Washington
  • Yash Raj Shrestha, University of Lausanne
  • Ekaterina Shutova, University of Amsterdam
  • Alexandra A. Siegel, University of Colorado Boulder
  • Almog Simchon, Department of Psychology, Ben-Gurion University of the Negev, Israel
  • Huan Sun, The Ohio State University
  • Malte Toetzke, Technical University of Munich & Max Planck Institute for Innovation and Competition
  • Jay J Van Bavel, New York University; Norwegian School of Economics
  • Michelle Vaccaro, MIT, Institute for Data, Systems, and Society (IDSS)
  • Jennifer Wortman Vaughan, Microsoft Research
  • Effy Vayena, Health Ethics and Policy Lab, ETH Zurich
  • Pedro O.S. Vaz-de-Melo, Universidade Federal de Minas Gerais, Brazil
  • Briana Vecchione, Data & Society Research Institute
  • Angelina Wang, Cornell Tech
  • Robert West, EPFL
  • Robb Willer, Stanford University
  • Dirk U. Wulff, Center for Adaptive Rationality, Max Planck Institute for Human Development & Faculty of Psychology, University of Basel
  • Renwen Zhang, Nanyang Technological University, Singapore
  • Simone Zhang, New York University
  • Steve Rathje, New York University
  • Manoel Horta Ribeiro, Department of Computer Science, Princeton University

Core members

The process was coordinated and overseen by a core team that prepared the initial draft of the checklist, incorporated feedback across both Delphi rounds, and guided the final consolidation of items. Core members (in alphabetical order) include Christopher Barrie, M.J. Crockett, Stefan Feuerriegel, Laura K. Globig, Killian L. McLoughlin, Dan-Mircea Mirea, Manoel Horta Ribeiro, Steve Rathje, Arthur Spirling, and Diyi Yang. Their role was to synthesize the panel’s quantitative ratings and qualitative feedback, ensure methodological rigor throughout the preregistered process, and draft the manuscript.