Democratizing Knowledge Creation Through Human-AI Collaboration in Academic Peer Review

Authors

Suprateek Sarker, University of VirginiaFollow
Anjana Susarla, Michigan State UniversityFollow
Ram Gopal, University of WarwickFollow
Jason Bennett Thatcher, University of Colorado / University of ManchesterFollow

Abstract

In the rapidly evolving landscape of academic research, artificial intelligence (AI) is poised to revolutionize traditional academic peer review processes and knowledge evaluation systems. We believe that the growing collaboration between humans and AI will disrupt how academics assess scholarly manuscripts and disseminate published works in a way that facilitates the closing of gaps among diverse scholars as well as competing scholarly traditions. Such human-AI collaboration is not a distant reality but is unfolding before us, in part, through the development, application, and actual use of AI, including language learning models (LLMs). This opinion piece focuses on the academic peer review process. It offers preliminary ideas on how human-AI collaboration will likely change the peer review process, highlights the benefits, identifies possible bottlenecks, and underscores the potential for democratizing academic culture worldwide.

Recommended Citation

Sarker, Suprateek; Susarla, Anjana; Gopal, Ram; and Thatcher, Jason Bennett (2024) "Democratizing Knowledge Creation Through Human-AI Collaboration in Academic Peer Review," Journal of the Association for Information Systems, 25(1), 158-171.
DOI: 10.17705/1jais.00872
Available at: https://aisel.aisnet.org/jais/vol25/iss1/2

DOI

10.17705/1jais.00872