The Information School, in collaboration with the University of Rome "Tor Vergata", has published the paper "AI-assisted peer review" in the Nature journal Humanities and Social Sciences Communications, by Alessandro Checco, Lorenzo Bracciale, Pierpaolo Loreti, Stephen Pinfield and Giuseppe Bianchi.
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In the context of academic research, we designed an experiment to test AI capabilities in predicting the review score of manuscripts. We show that such techniques can reveal correlations between the decision process and other quality proxy measures, uncovering potential biases of the review process. We discuss the opportunities, but also the potential unintended consequences of these techniques in terms of algorithmic bias and ethical concerns.
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