AOM 2026 Panel Symposium: The Stakeholder Dilemma – Disclosure, Trust, and Accountability for AI in Research (ID: 13902)
Please join us at the Academy of Management Annual Meeting in Philadelphia for a timely panel discussion on the governance of AI-enabled scholarship.
When does AI disclosure build trust, and when does it become a stigma cue? What verification can reasonably be expected without turning peer review into "AI detective work"? How should accountability be distributed among researchers, reviewers, editors, universities, and technology providers?
Our panel will bring together perspectives from across the scholarly ecosystem and work toward practical guidance, including an AI Disclosure Framework, a Verification Checklist, and an Accountability Allocation Map.
Panelists:
Kuok Kei (Eddie) Law, NUCB Business School
Denise Potosky, Pennsylvania State University
Tae-Yeol Kim, Hope College
Sam Park, The Hang Seng University of Hong Kong
Isabelle Walsh, SKEMA Business School / Université Côte d'Azur
Discussants:
Denise M. Rousseau, Carnegie Mellon University
Bart A. de Jong, Durham University Business School
Moderator:
Jacky Hong, University of Macau
Tuesday, August 4 | 1:15-2:45 p.m.
Marriott 404
We warmly invite researchers, reviewers, editors, doctoral educators, academic leaders, and technology scholars to join the conversation.
Thanks,
Eddie and Jacky