Author: Alessandro Checco, Lorenzo Bracciale, Pierpaolo Loreti, Stephen Pinfield, Giuseppe Bianchi
As the rate and volume of academic publications has risen, so too has the pressure on journal editors to quickly find reviewers to assess the quality of academic work. In this context the potential of Artificial Intelligence (AI) to boost productivity and reduce workload has received significant attention. Drawing on evidence from an experiment utilising AI to learn and assess peer review outcomes, Alessandro Checco, Lorenzo Bracciale, Pierpaolo Loreti, Stephen Pinfield, and Giuseppe Bianchi, discuss the prospects for AI for assisting peer review and the potential ethical dilemmas its application might produce.
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