AI Peer Review’s Next Frontier: Governing Institutions and Algorithmic Systems
The Future of AI Peer Review: Institutional Governance and Algorithmic Integration The global academic publishing infrastructure is currently navigating a period of significant strain, characterized by an exponential increase in submission volumes and a corresponding plateau in the availability of qualified reviewers. This imbalance, often termed 'reviewer fatigue,' has necessitated a re-evaluation of traditional gatekeeping mechanisms. In this context, the integration of Artificial Intelligence (AI) into the peer review ecosystem has shifted from a theoretical possibility to an operational imperative for major publishers and research institutions. Policymakers and editorial boards are now tasked with establishing governance frameworks that balance the efficiency of automated tools with the ethical requirements of scientific inquiry. The discourse surrounding the future of AI peer review is not merely about automation; it is about redefini...